JP2010159968A - Method of diagnosing electrically-driven device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method of diagnosing an electrically-driven device, providing an accurate and reliable diagnosis result. <P>SOLUTION: Diagnosis of an electrically-driven device is performed on the basis of correlation between an electric signal corresponding to an electric amount input to the electrically-driven device and another physical amount obtained in the side of the electrically-driven device. Because the diagnosis is performed on the basis of the correlation between the electric signal corresponding to the electric amount input to the electrically-driven device and the other physical amount obtained in the side of the electrically-driven device in accordance with such constitution, when the electrically-driven device is an electrically-driven valve driven by a rotation force of an electric motor, the diagnosis of the electrically-driven device is performed on the basis of the correlation between the electric signal corresponding to the electric amount input to the motor and yoke stress generated in a yoke of the electrically-driven valve. When the electrically-driven device is a nuclear reactor control rod drive device driven by a magnetic drive force of an electromagnetic coil, the diagnosis of the electrically-driven device is performed on the basis of the correlation between the electric signal corresponding to the electric amount input to the electromagnetic coil and an oscillation sensor during actuation of the control rod drive device. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a diagnosis method for diagnosing an electric device such as an electric valve.

  For example, when diagnosing an electric device driven by the rotational force of an electric motor or the magnetic driving force of an electromagnetic coil, it is important to accurately know the amount of electricity input to the electric device.

  As a method for acquiring the amount of electricity input to such an electric device, for example, the lid of an electric box provided for power supply to the electric motor is opened, and the electric amount is measured on the electric wire stored in the electric box. There are known a method of measuring a current value or the like by attaching a device, or a method of measuring a current value by attaching a clamp type current sensor for detecting a feeding current to a power cable of an electric motor as disclosed in Patent Document 1. ing.

JP-A-2-307033.

  However, in the former method of measuring the current value etc. by attaching an electric quantity measuring device to the electric wire in the electric box, it is necessary to open the lid of the electric box every time the measurement is performed, so the installation work of the measuring device is complicated. There are problems such as poor workability, the possibility of an electric shock from the operator during the mounting operation of the measuring instrument or the measuring work using the measuring instrument, and the possibility of a ground fault or short circuit.

  In addition, since the electric box in which the measuring device is installed is separated from the electric motor and the electric device driven by the electric box, the electric device is diagnosed using only acquired information acquired by the measuring device. In such a case, there is not much problem. However, for example, when it is necessary to correlate the acquired information with other information on the electric device side, it becomes a problem.

  On the other hand, in the method using the clamp-type current sensor, it is not possible to perform the measurement by attaching the current sensor from the outside of the conduit containing the power cable. For example, the electric box is opened and the power cable is directly connected to the power cable. There is a problem that it is necessary to attach a current sensor, and the measurement work becomes complicated.

  Therefore, the present invention proposes a diagnosis method for an electric device that can easily, safely and accurately acquire the amount of electricity input to the electric device and perform various diagnoses of the electric device based on the acquired information. It was made for the purpose.

  In the present invention, the following specific configuration is adopted as a specific means for solving such a problem.

  The first invention of the present application is characterized in that the diagnosis of the electric device is performed based on a correlation between an electric signal corresponding to the electric quantity input to the electric device and another physical quantity obtained on the electric device side. .

Here, the above-mentioned “other physical quantity on the electric device side” is a physical quantity generated with the operation of the electric device, and when the electric device is, for example, an electric valve driven by the rotational force of the electric motor. The yoke stress generated in the yoke, the valve stem stress generated in the valve stem, and the like correspond to this, and in the case of a nuclear reactor control rod driving device driven by the magnetic driving force of the electromagnetic coil, The vibration (sound) accompanying the movement of the control rod corresponds to this.

  According to a second invention of the present application, in the method for diagnosing an electric device according to the first invention, a geometric relative position of the electric signal with respect to the electric power line in a conduit containing the electric power line for supplying the electric signal to the electric device. An electrical signal corresponding to a magnetic signal obtained by measurement with reference to a correlation database of a reference magnetic signal obtained by a plurality of magnetic field sensors arranged in a region where the magnetic field does not change and a reference electrical signal corresponding to the reference magnetic signal It is characterized by acquiring as.

  Here, if the power source is a three-phase AC, the power line includes three electric wires (U-phase electric wire, V-phase electric wire, and W-phase electric wire), and a magnetic field is formed by each of these electric wires. Is detected by the magnetic field sensor, and a signal corresponding to the magnitude is output. In this case, since the magnitude of the magnetic field sensed by the magnetic field sensor becomes smaller as the distance from each electric wire becomes longer, for example, in the measurement with a single magnetic field sensor, the attachment position of the magnetic field sensor with respect to the conduit (In other words, depending on the mounting position of the magnetic field sensor with respect to each electric wire UVW of the power line), it may be difficult to obtain a magnetic signal corresponding to the amount of electricity flowing through each electric wire.

  On the other hand, even when the arrangement position of the power line (each electric wire UVW) in the electric pipe (the arrangement position in the in-plane position orthogonal to the pipe axis of the electric pipe) is unknown and the sensitivity of the magnetic field sensor to each electric wire is different, this By arranging a plurality of magnetic field sensors in the part where the geometrical relative position between the conduit and the power line does not change, and adopting the sum of the magnetic signals obtained by each of these magnetic field sensors as the magnetic signal, the magnetic signal is reliably transmitted. It is also known to be obtained (described later).

  As the “magnetic field sensor”, for example, a magnetic field sensor using a hall element or an amorphous element that detects a magnetic field generated from a power line in the conduit and outputs a signal corresponding to the magnitude of the magnetic field (magnetic signal) is adopted. Is done.

  The “magnetic signal” acquired by the magnetic field sensor is not limited to the magnetic signal itself, but includes a signal based on a magnetic signal such as an integrated magnetic signal obtained by integrating the magnetic signal. Here, the “reference magnetic signal” is a magnetic signal acquired by the magnetic field sensor when a reference current is supplied to the motor. In addition, the amount of electricity corresponding to the reference current at this time is a “reference electrical signal”, and this “electrical signal” is a concept including not only the current and the integrated current obtained by integrating the current but also the electrical signal based on them. .

  Furthermore, it is known that the magnitude “H” of the magnetic field is proportional to the current “I” flowing through the power line and inversely proportional to the distance (r) from the power line (H is proportional to I / 2πr). Therefore, the magnetic signal “G” output corresponding to the magnitude of the magnetic field and the current “I” flowing through the power line are in a proportional relationship, and thus the correlation between the magnetic signal “G” and the current “I” is acquired as a database. Then, based on this database, the current current “I” corresponding to the magnetic signal “G” acquired by measurement can be acquired. Further, from the proportional relationship between the magnetic signal “G” and the current “I”, the integrated value “sigma (capital letter) G” of the magnetic signal and the integrated value “sigma I” of the current value are also proportional to “sigma G is sigma. It is said that it is “proportional to I”.

  From the above, the correlation database of the reference magnetic signal acquired by the plurality of magnetic field sensors arranged in the portion where the geometric relative position with the power line in the conduit does not change and the reference electric signal corresponding to the reference magnetic signal If acquired, the electrical signal corresponding to the magnetic signal acquired by measurement can be acquired by referring to the correlation database from the next time onward.

  According to a third invention of the present application, in the diagnostic method for an electric device according to the second invention, the respective positions at the respective positions when the positions of the electric wires of the electric power line in the electric conduit are changed in the electric conduit in advance. A reference output pattern between magnetic signals of the magnetic field sensors is acquired, and the actual output pattern is compared by comparing the reference output pattern with the actual output patterns between the magnetic signals of the magnetic field sensors acquired by measurement. The position information of each electric wire in the conduit is acquired from the reference output pattern corresponding to, and this position information is reflected in the diagnosis.

  Here, even if a plurality of magnetic field sensors are arranged in a portion where the geometrical relative position with the power line in the conduit does not change as described above, this is not absolute, and for some reason the above It is possible that the geometric relative position changes. In such a case, if the reference output pattern is acquired in advance, the reference output pattern is compared with the actual output pattern as appropriate, and the actual output pattern approximates any pattern in the reference output pattern. It is possible to easily acquire positional information such as whether or not the geometric relative position has changed and how it has changed.

  Therefore, by reflecting this position information in the diagnosis of the electric device, for example, the correlation database is newly acquired, and the correlation database is used for the diagnosis of the electric device, thereby obtaining a more reliable diagnosis result. be able to.

  According to a fourth invention of the present application, in the diagnostic method for an electric device according to the second invention, an actual correlation pattern indicating a correlation between the magnetic signal acquired by measurement and the other physical quantity, and a reference state acquired in advance. It is characterized in that a magnetic signal is compared with a reference correlation pattern of another physical quantity, and an electric appliance is diagnosed based on a difference state between these two patterns.

  Here, the magnetic signal is grasped as an input signal to the electric device. In addition, the other physical quantity is a physical quantity generated as a result of the operation of the electric device as described above. For example, when the electric device is an electric valve, the yoke stress generated in the yoke or the valve rod The generated valve stem stress or the like corresponds to this and is grasped as an output signal on the electric device side.

  Therefore, the reference correlation pattern indicates the correspondence between the input signal and the output signal at the reference time (for example, at the initial installation of the electric device or at the previous diagnosis), and the actual correlation pattern is the same as the input signal at the time of the current measurement. Since the correspondence relationship of the output signals is shown, by comparing these reference correlation patterns with the actual correlation patterns, for example, it is possible to easily confirm a change in operating state or a change tendency of the electric device.

  In the diagnostic method for an electric device according to the fifth invention of the present application, in the diagnostic method for the electric device according to the first or second invention, the electric signal and the other physical quantity are displayed as waveform signals, respectively. The electric device is diagnosed on the basis of appropriateness of generation timing between waveform signals or a deviation between each waveform signal repeatedly displayed and an average value of all the waveform signals in all repetition periods. .

  Here, the waveform signal corresponding to the electric signal is a state quantity corresponding to the input electric quantity to the electric device, and the waveform signal corresponding to the other physical quantity is a state corresponding to the output on the electric apparatus side. Therefore, by checking the generation timing between these waveform signals, it is possible to easily diagnose whether or not the electric device is operating at an appropriate operation timing.

In addition, by checking the deviation between each waveform signal that is displayed repeatedly and the average value of all the waveform signals over the entire repetition period, it is easy to determine whether an inappropriate operation has occurred during the operation period of the electric device. Can be diagnosed.

  In the diagnostic method for an electric device according to a sixth invention of the present application, in the diagnostic method for an electric device according to the first or second invention, the electric signals and the other physical quantities are respectively displayed as waveform signals, Based on the appropriateness of the generation timing between the waveform signals for each motorized part or the deviation between each waveform signal displayed repeatedly and the average value of all the waveform signals in the entire repetition period, It is characterized by making a diagnosis.

  Here, as the waveform signal on the input side, a plurality of waveform signals corresponding to the input electric quantity to each of the plurality of electric parts of the electric device are displayed, and as the waveform signal on the output side, the waveform corresponding to the other physical quantity A signal is displayed. Therefore, by confirming the generation timing between these waveform signals, it is possible to easily diagnose whether each electric part of the electric device is operating at an appropriate operation timing.

  Further, by confirming the deviation between each waveform signal displayed repeatedly and the average value of all the waveform signals in all repetition periods, each of the electric parts of the electric device is inappropriate during the operation period. It can be easily diagnosed whether an operation has occurred.

  According to a seventh aspect of the present invention, there is provided a diagnostic method for an electric device according to the sixth aspect, wherein any one of the waveform signals based on the electric signals is used as a reference waveform. And obtaining the operation parameters of each electric motor unit based on the waveform signals and the other physical quantities with reference to a specific waveform point of the reference waveform, and analyzing the operation parameters. It is characterized by diagnosing the electric device.

  Here, the operation specifications of the electric part are, for example, the operation continuation time of each of the plurality of electric parts of the electric device, the overlapping period of the operation of the electric parts, and the like. By analyzing the above, it is possible to more easily and accurately grasp the operating characteristics of the entire electric device.

(1) According to the diagnostic method for an electric device according to the first invention of the present application, based on the correlation between an electric signal corresponding to the electric quantity input to the electric device and another physical quantity obtained on the electric device side. When the electric device is an electric valve driven by the rotational force of the electric motor, an electric signal corresponding to the amount of electricity input to the electric motor and, for example, a yoke of the electric valve Based on the correlation with the generated yoke stress, and when the electric device is a control rod driving device of a nuclear reactor driven by the magnetic driving force of the electromagnetic coil, it corresponds to the amount of electricity input to the electromagnetic coil. Based on the correlation between the electric signal and the vibration (acceleration) sensor during operation of the control rod drive device, each of the electric devices can be diagnosed, and the diagnosis work can be performed more easily, quickly and accurately.

(2) According to the diagnostic method for an electric device according to the second invention of the present application, the correlation between the reference magnetic signal and the corresponding reference electrical signal is achieved by a simple means of arranging the plurality of magnetic field sensors on the conduit. Since the database can be acquired and the electrical signal corresponding to the magnetic signal acquired by the measurement is acquired based on this correlation database from the next time onward, the following effects are obtained.

  (2-1) For example, it is necessary to modify the electric box as in the conventional method of measuring the current value by attaching an electric quantity measuring device to the electric wire in the electric box, or the electric shock or ground fault during the work. Alternatively, an electric signal can be obtained simply, quickly and safely without any danger such as a short circuit.

  (2-2) Since the plurality of magnetic field sensors are arranged in a portion where the geometric relative position with the power line in the conduit does not change, the positional relationship between the magnetic field sensor and the power line is maintained constant and stable. It is possible to obtain a highly reliable measurement result.

  (2-3) Acquisition of an electric signal based on measurement by the magnetic field sensor and acquisition of other physical quantities on the electric device side can be performed together in the vicinity of the electric device, and comparison and confirmation of both of them can be easily performed. Therefore, for example, it is easier to collect the electrical signals and other physical quantities, and to confirm the comparison between them, as compared with the case where the electrical signals are in the electrical panel part and the other physical quantities are in the electric equipment part. As a result, diagnosis based on the correlation between the electrical signal and the other physical quantity, for example, diagnosis of propriety of transmission efficiency of the driving force in the electric equipment, change tendency of the transmission efficiency, etc. can be easily and quickly performed. Moreover, it can be performed with high reliability.

  (3) According to the diagnostic method for an electric device according to the third invention of the present application, in addition to the effect described in (2) above, the following specific effect is obtained. That is, in the present invention, a reference output pattern between the magnetic signals of the magnetic field sensors at each position when the position of each wire of the power line in the conduit is changed in the conduit is acquired in advance. The position of each electric wire in the conduit from the reference output pattern corresponding to the actual output pattern by comparing the actual output pattern between the magnetic signals of the magnetic field sensors obtained by measurement with the reference output pattern Since the information is acquired and the position information is reflected in the diagnosis, the reference output pattern is acquired in advance, and the reference output pattern is compared with the actual output pattern when appropriate. By examining which of the reference output patterns approximates, it is possible to check whether the geometric relative position has changed or not. The position information such as how it is changing can be easily acquired, and this position information is reflected in the diagnosis of the electric device. For example, the correlation database is newly acquired, and the correlation database is By using the device for diagnosis, a more reliable diagnosis result can be obtained.

  (4) According to the diagnostic method for an electric device according to the fourth invention of the present application, in addition to the effect described in (2) above, the following specific effect is obtained. That is, according to the present invention, the actual correlation pattern indicating the correlation between the magnetic signal acquired by measurement and the other physical quantity is compared with the reference correlation pattern of the magnetic signal and the other physical quantity acquired in advance in the reference state. Since the diagnosis of the electric device is performed based on the difference state of the patterns, the change of the operating state of the electric device or the change tendency can be easily confirmed from the difference state of these two patterns. Therefore, the maintenance time can be accurately determined, and the maintenance management of the electric equipment is improved.

  (5) According to the method for diagnosing an electric device according to the fifth invention of the present application, the electrical signal and the other physical quantity are displayed as waveform signals, respectively, and the appropriateness of the generation timing between these waveform signals is confirmed. Thus, it is possible to easily diagnose whether or not the electric device is operating at an appropriate operation timing, and it is possible to speed up diagnosis and improve diagnosis accuracy.

  In addition, by checking the deviation between each waveform signal that is displayed repeatedly and the average value of all the waveform signals over the entire repetition period, it is easy to determine whether an inappropriate operation has occurred during the operation period of the electric device. Diagnosis can be made, and diagnosis can be speeded up and diagnosis accuracy can be improved.

  Therefore, this diagnostic method is a control rod drive device for a nuclear reactor in which the electric equipment is driven stepwise in multiple steps by the electric part using the electromagnetic coil, and the operation timing of the electric part in each step is appropriate. It is suitable for use as a diagnostic method in “stepping test” in which improperness is judged by visual inspection or the like, or in which the electric part is operating properly within the entire range of repeated steps. is there.

  (6) According to the diagnostic method for an electric device according to the sixth invention of the present application, in addition to the effect described in the above (1) or (2), the following specific effect can be obtained. That is, in the present invention, the electric device includes a plurality of electric parts, and the electric signal is acquired for each power line corresponding to each electric part. By displaying each waveform signal and checking the generation timing between the waveform signals for each electric part, it is easy to check whether each electric part of the electric device is operating at an appropriate operation timing. Can be diagnosed.

  In addition, in each of the electric parts of the electric device, by diagnosing the electric device based on a deviation between each waveform signal repeatedly displayed and an average value of all the waveform signals in all repetition periods, It is possible to easily diagnose whether or not an improper operation has occurred during the operation period, and as a result, the accuracy and reliability of diagnosis of the electric device can be further improved.

  Therefore, this diagnostic method is a control rod drive device for a nuclear reactor in which the electric equipment is driven stepwise in multiple steps by the electric part using the electromagnetic coil, and the operation timing of the electric part in each step is appropriate. It is suitable for use as a diagnostic method in “stepping test” in which improperness is judged by visual observation or by visual judgment of whether or not the electric motor is operating properly within the entire range of repeated steps.

  According to the diagnostic method for an electric device according to the seventh invention of the present application, in addition to the effect described in the above (6), the following specific effect can be obtained. That is, in the present invention, any one of the waveform signals based on each of the electrical signals is selected as a reference waveform, and each of the waveform signals and the other are selected with reference to a specific waveform point of the reference waveform. Since the operation specifications of each of the electric parts are acquired based on the physical quantity of the motor and the diagnosis of the electric device is performed by analyzing the operation specifications, the analysis of these operation specifications is performed. Thus, the operation characteristics of the entire electric device can be grasped more easily and accurately, and the accuracy and reliability of diagnosis of the electric device can be improved accordingly.

  Hereinafter, the present invention will be specifically described based on preferred embodiments.

I: First Embodiment FIG. 1 shows a first embodiment in which a diagnosis method according to the present invention is applied to diagnosis of an electric valve 10 as an electric device.

  The motor-operated valve 10 is configured by connecting and integrating a valve main body 11 and a valve driving unit 16 via a yoke 15. A valve body 13 for opening and closing the valve seat portion 12 is accommodated in the valve main body portion 11. A valve rod 14 that passes through the yoke 15 in the vertical direction and reaches the upper portion of the valve driving portion 16 is connected to the valve body 13. The valve rod 14 is moved up and down by the valve driving portion 16. By driving, the valve body 13 is seated or separated from the valve seat portion 12, and the motor-operated valve 10 is opened and closed.

  The valve drive unit 16 includes a worm shaft 21 that includes a worm 22 and is rotationally driven by the electric motor 5, a worm wheel 23 that meshes with the worm 22 and transmits rotational force from the worm 22 side, and a valve rod 14. A stem nut (not shown) that meshes with the threaded portion is built in, and a drive sleeve 26 that receives the rotational force from the worm wheel 23 and rotationally drives the stem nut is provided. A spring cartridge 24 for adjusting the torque of the valve rod 14 is disposed on the shaft end side of the worm shaft 21.

  In this embodiment, ultimately, various diagnoses relating to the current of the motor-operated valve 10 are performed. As a pre-work, the amount of electricity input to the motor-operated valve 10 can be set with a simple configuration. It is obtained safely and easily with high accuracy, and various databases related to the amount of electricity are created. And when performing the diagnosis of the said motor operated valve 10, a highly reliable diagnosis is implement | achieved by utilizing the electric quantity and various databases which were acquired previously.

  Therefore, in the following, first, a method for acquiring the amount of electricity input to the motor-operated valve 10 will be described, and then a method for diagnosing the motor-operated valve 10 using the amount of electricity will be described.

A: Electric quantity acquisition method In this embodiment, the electric quantity (particularly current in this embodiment) input to the motor-operated valve 10 is acquired based on a magnetic signal detected by a magnetic field sensor, and By acquiring the correlation between the signal and the electric signal as a database, the acquisition of the electric signal from the next time onward is facilitated and speeded up.

A-1: Acquisition of Magnetic Signal by Magnetic Field Sensor 8 In this embodiment, in order to acquire a magnetic signal more easily, safely and with high accuracy, a magnetic signal is acquired by combining three magnetic field sensors 8. I am doing so.

  Specifically, on the outer circumferential surface of the steel pipe conduit 1 connected to the upstream end of the flexible pipe portion 4 connected to the electric motor 5 and at the same position in the axial direction of the conduit pipe 1 in the circumferential direction. Three magnetic field sensors 8A, 8B, 8C are arranged at substantially the same pitch, and the electric wires U, V, W of the power line 2 arranged in the conduit 1 are arranged by the three magnetic field sensors 8A, 8B, 8C. The magnetic field lines generated from each of these are sensed and a signal corresponding to the magnitude of the magnetic field is output.

  As the magnetic field sensor 8, for example, a magnetic field sensor using a Hall element or an amorphous element is employed. The portion of the conduit 1 where the magnetic field sensors 8A, 8B, and 8C are disposed has a geometric relative position between the conduit 1 and the power line 2 (that is, the electrical wires U, V, and W). It was selected as a part that does not change. If the measurement is performed at such a site, in principle, it is considered that the relative relationship between the output signals from the magnetic field sensors 8A, 8B, and 8C is kept constant regardless of how many times the measurement is performed. Higher signal data is obtained. However, since the relative position of the conduit 1 and the power line 2 may change in the above-mentioned part for some unexpected reason, the countermeasure in such a case is also considered (described later).

A-2: Magnetic Signal Calculation Method Here, a magnetic signal calculation method using each of the magnetic field sensors 8A, 8B, and 8C will be described with reference to FIG.

  This magnetic signal calculation method has been developed by the present applicant and has already been applied for a patent (Japanese Patent Application No. 2003-419062, Japanese Patent Application Laid-Open No. 2005-180989). This will be briefly described as follows.

In FIG. 2, a power line 2 is accommodated in the conduit 1. The power line 2 is a three-phase cable and has three electric wires U, V, and W. As described above, the geometric relative position of the power line 2 in the conduit 1 does not change. It is supposed to be. The magnetic field sensors 8A, 8B, and 8C are arranged on the outer circumference of the conduit 1 with a phase of 120 degrees in the circumferential direction.

  Here, each of the magnetic field sensors 8A, 8B, and 8C has a characteristic of sensing a magnetic force line generated from each of the electric wires U, V, and W and outputting a signal corresponding to the magnitude of the magnetic field. It is known that the magnitude of the detected magnetic field is inversely proportional to the distance from the center of each electric wire U, V, W to each magnetic field sensor 8A, 8B, 8C. Accordingly, since the distances from the electric wires U, V, and W are different in the magnetic field sensors 8A, 8B, and 8C, the signals detected from the magnetic lines of force from the electric wires U, V, and W are different. For example, in the magnetic field sensor 8A, the signal sensed from the electric wires U and W having the small distances Aru and Arw is large, but the signal sensed from the electric wire V having the large distance Arv is small.

  Therefore, for example, when one magnetic field sensor is arranged in the conduit 1 and a magnetic signal is detected by the magnetic field sensor, the arrangement position of the power line 2 in the conduit 1, Depending on the position of the magnetic field sensor with respect to the conduit 1, the signal sensed from the power line 2 may be small, and a highly accurate magnetic signal may not be acquired.

  On the other hand, even if the arrangement position of the power line 2 in the conduit 1 is unknown, if a plurality of magnetic field sensors are arranged in the conduit 1, there are high sensitivity and low sensitivity to the lines of magnetic force. Therefore, for example, the output of this highly sensitive magnetic field sensor is adopted as a magnetic signal, or the sum of the output of a highly sensitive magnetic field sensor and the output of a magnetic field sensor with low sensitivity is obtained by calculation, and this is obtained as a magnetic signal. The above-mentioned prior art employs the latter method and discloses a specific calculation method. Specifically, the detection signals of the magnetic field sensors 8A, 8B, and 8C are obtained as large signal values that are easily discriminated by adding or subtracting them with absolute values, and this is obtained as a magnetism corresponding to the magnetic field of the power line 2. It is used as a signal.

  From the above, in this embodiment, the magnetic signal acquisition technique shown in the above prior art is adopted, and the signal values detected by the magnetic field sensors 8A, 8B, 8C are respectively input to the magnetic signal calculation means 31. This is taken in and processed by the magnetic signal calculation means 31 and used as a magnetic signal for various processes or diagnosis described later.

B: Diagnostic device 30
Next, based on the above-described magnetic signal acquisition method, the configuration of the diagnostic device 30 and the diagnostic method using the diagnostic device 30 will be described with reference to FIG.

B-1: Configuration of Diagnostic Device 30 In addition to the three magnetic field sensors 8A, 8B, and 8C disposed in the conduit 1, the diagnostic device 30 includes a magnetic signal calculation unit 31 and an electric signal calculation unit 32. , A magnetic-electric signal database 33, a magnetic signal-physical quantity database 34, an output pattern database 35, a diagnosis means 36, an output means 37, and a physical quantity signal calculation means 40.

  The magnetic signal calculation means 31 acquires a magnetic signal by calculation based on the detection values of the magnetic field sensors 8A, 8B, and 8C, and uses this as a magnetic signal Sa to generate a magnetic-electric signal database 33 and a magnetic signal-physical quantity. The data is output to the database 34, the output pattern database 35, and the diagnosis means 36, respectively. The magnetic signal Sa includes not only the magnetic signal itself but also a signal obtained by performing a required arithmetic process such as integration.

The electric signal calculation means 32 acquires an electric signal by calculation based on a detection value detected by a current sensor (not shown) in the electric control panel 29, for example, and uses this as an electric signal Sb as a magnetic-electric signal. The data are output to the database 33, the magnetic signal-physical quantity database 34, and the diagnostic means 36, respectively. The electric signal Sb includes a current signal and a signal obtained by performing arithmetic processing such as integration.

B-1-2: Magneto-electric signal database 33
In the magnetic-electrical signal database 33, the magnetic signal (reference magnetic signal) input from the magnetic signal calculating unit 31 and the electric input from the electric signal calculating unit 32 in a reference state (for example, at the time of the first measurement). The correlation with the signal (reference electrical signal) is obtained and stored as a database. Therefore, in the next and subsequent measurements, an electric signal corresponding to the magnetic signal Sa input from the magnetic signal calculation means 31 is read from the magnetic-electric signal database 33 and is output as an electric signal Sc to the diagnosis means 36. .

  The diagnostic means 36 is supplied with the electric signal Sb from the electric signal calculation means 32 and the electric signal Sc from the magnetic-electric signal database 33. When the signal can be obtained, the electrical signal Sb from the electrical signal calculation means 32 based on this measurement is used for diagnosis. When the measurement is not performed or cannot be performed, the electrical signal from the magnetic-electrical signal database 33 is used. This is because the signal Sc is used for diagnosis.

B-1-3: Magnetic signal-physical quantity database 34
The magnetic signal-physical quantity database 34 receives a magnetic signal Sa in a reference state inputted from the magnetic signal computing means 31 and a physical quantity signal Se inputted from a physical quantity signal computing means 40 described later to obtain a correlation between them. This is held as a database. Therefore, in the subsequent measurement, the physical quantity signal corresponding to the magnetic signal Sa input from the magnetic signal calculation means 31 can be read from the magnetic signal-physical quantity database 34 and used for diagnosis in the diagnostic means 36. .

  Here, the magnetic signal Sa from the magnetic signal calculation means 31 is inputted to the magnetic signal-physical quantity database 34, but instead of this, the electric signal Sb from the electric signal calculation means 32 is inputted. It can also be configured to input.

B-1-4: Output pattern database 35
The output pattern database 35 holds, as a database, output patterns (reference output patterns) of the magnetic field sensors 8A, 8B, and 8C when the position of the power line 2 is changed in the conduit 1 as a database. The pattern is compared with the actual output pattern that is the output pattern of each of the magnetic field sensors 8A, 8B, and 8C in the actual measurement, and the comparison result is output to the diagnosis means 36 as the output pattern signal Se. It will be reflected in the diagnosis in Japan.

  Here, two cases can be considered as the case where the position of the power line 2 changes in the conduit 1. One of the cases is when the power line 2 moves in parallel in the conduit 1 while maintaining the relative relationship in the rotational direction with the conduit 1 (hereinafter referred to as “first case”). When the power line 2 is twisted in the conduit 1 or twisted simultaneously with the parallel movement as in the first case, and the relative relationship with the conduit 1 changes (hereinafter referred to as “second case”). It is said).

The above first case will be described in detail. As shown in FIG. 8, when the position of the power line 2 is sequentially changed in the conduit 1 (for example, the power lines 2A → 2B → 2C → 2D). 9), the output pattern of each magnetic field sensor 8A, 8B, 8C at each position is expressed as “position 1 → position 2 → position 3 → position 4” as shown in FIG. → ... "as a reference output pattern. Then, the reference output pattern is compared with the actual output patterns of the magnetic field sensors 8A, 8B, and 8C obtained by the measurement as shown in FIG. 10, and the reference output pattern that most closely approximates the actual output pattern is extracted. Then, assuming that the position corresponding to the extracted reference output pattern is the current arrangement position of the power line 2 in the conduit 1, this is output to the diagnosis means 36 described later, and the diagnosis in the diagnosis means 36 is performed. It is reflected in.

  Further, in the second case, particularly when twist occurs in addition to the parallel movement, the power line 2 is rotated along with the parallel movement in the conduit 1, and the magnetic field sensors 8A, 8B, 8C at the respective rotation positions are rotated. Are stored as reference output patterns (see FIG. 9). Then, the reference output pattern is compared with the actual output patterns (see FIG. 10) of the magnetic field sensors 8A, 8B, and 8C obtained by the measurement, and the reference output pattern that approximates the actual output pattern is extracted. Assuming that the position corresponding to the extracted reference output pattern is the current rotational position of the power line 2 in the conduit 1, this is output to the diagnostic means 36 described later for diagnosis in the diagnostic means 36. It is reflected.

B-1-5: Physical quantity signal calculating means 40
The physical quantity signal calculation means 40 receives a yoke stress signal detected by the yoke stress sensor 25. Although not shown, the physical quantity signal calculation means 40 is provided with a correlation database in the reference state of the yoke stress and the valve axial force that has a corresponding relationship with the yoke stress. When the yoke stress signal is input from the yoke stress sensor 25, the physical quantity signal calculation means 40 receives the yoke stress signal, for example, the yoke stress signal itself as the physical quantity signal Se, or the input yoke stress signal. Is output from the correlation database to the magnetic signal-physical quantity database 34 and the diagnostic means 36 as a physical quantity signal Se.

  Here, yoke stress and valve axial force are assumed as physical quantities, but both yoke stress and valve axial force correspond to the “output torque” in the motor-operated valve 10, and therefore, similar to these. In addition, the compression force and compression amount of the spring cartridge 24 corresponding to “torque” can also be adopted as the physical quantity. For example, the rotation detected by a rotation angle sensor (not shown) that detects the axial displacement of the worm shaft 21 in a non-contact state as the rotation angle of the rotor that rotates following the axial displacement of the worm shaft 21. The angular signal can also be input to the physical quantity signal calculation means 40 as a physical quantity signal Se.

B-1-6: Diagnostic means 36
The diagnosis unit 36 includes a magnetic signal Sa input from the magnetic signal calculation unit 31, an electric signal Sb input from the electric signal calculation unit 32, and an electric signal Sc input from the magnetic-electric signal database 33. And a physical quantity signal Sd inputted from the magnetic signal-physical quantity database 34, a physical quantity signal Se inputted from the physical quantity signal calculating means 40, and an output pattern signal Sf inputted from the output pattern database 35. Various diagnosis of the motor-operated valve 10 is performed. Specific diagnosis in the diagnosis means 36 will be described later.

B-1-7: Output means 37
The output means 37 receives the diagnosis result output from the diagnosis means 36, causes the display means 38 to display the diagnosis result, and causes the alarm means 39 to generate a required alarm.

B-2: Contents of Diagnosis in Diagnosis Means 36 Here, some examples of diagnosis in the diagnosis means 36 will be described with reference to FIGS.

B-2-1: Diagnosis Regarding Set Torque of Motor-operated Valve 10 FIG. 3 shows a correlation diagram between current and yoke stress. Here, in the motor-operated valve 10, since the yoke stress corresponds to the output torque and the current value corresponds to the input value of the integrated value, the correlation diagram corresponds to the input / output curve of the motor-operated valve 10. The input / output curve at the reference time includes a line segment L1 indicating a state in which only the current (integrated value) rises without changing the yoke stress (that is, the output torque), and both the yoke stress and the current are predetermined. It is defined by a line segment L2 indicating a state of rising and changing at an increasing rate.

  The maximum output torque a in the reference state corresponds to the output torque when the set torque switch of the motor-operated valve 10 is operated. In the reference state, the motor-operated valve 10 is based on the set torque of the spring cartridge 24. Torque control is performed.

  Here, according to the subsequent measurement, the input / output curve in the reference state is substantially maintained, but the maximum output torque is higher than the maximum output torque “a” in the reference state on the line segment L2. When the torque has changed to “c” (first case), and has changed to “b” on the lower torque side than the maximum output torque “a” in the reference state on the line segment L2. A case (second case) is assumed.

  Among these changes, the first case is a state in which the set torque value is higher than that in the reference state, and the cause of such a state is in the spring cartridge 24 of the motor-operated valve 10. The increase in the compression resistance of the disc spring accompanying the hardening of the filled grease, the increase in the slide resistance of the worm 22, the displacement of the torque switch toward the high torque side, etc. can be considered.

  The second case is a state in which the set torque value is lower than that in the reference state. Causes of such a state include deterioration of the disc spring of the spring cartridge 24 and low torque switch. A position shift to the torque side can be considered.

  Note that the change state of the set torque as described above includes the electric signal Sa read from the magnetic-electrical signal database 33 corresponding to the magnetic signal measured by the magnetic field sensors 8A, 8B, and 8C, and the yoke stress sensor. By plotting the yoke stress signal Sb from 25, it is possible to make an immediate and clear determination.

  Such a diagnosis result is displayed on the display means 38, and an alarm is issued by the alarm means 39, so that an appropriate response can be taken quickly and the reliability of the motor operated valve 10 is improved. Further, it is possible to predict a maintenance time such as part replacement from the change state of the set torque.

B-2-2: Diagnosis Regarding Driving Loss Between Upstream and Downstream of Motorized Valve 10 In FIG. 4, the line segment L2 in the reference state is a broken line in the measurement after the next time with respect to the input / output curve in the reference state indicated by the solid line. The example which changed like line segment L21, L22 shown by is shown. In the first case, as indicated by a line segment L21, the maximum output torque (output torque when the set torque switch is operated) does not change, and the line segment L2 in the reference state changes to the high current side as it is. is there. In the second case, as indicated by the line segment L22, the maximum output torque (the output torque during operation of the set torque switch) changes to the low torque side, and the line segment L2 in the reference state changes to the high current side. Is the case.

  Here, in both the first case and the second case, the current is higher than that in the reference state, and it can be determined that a driving loss has occurred in the driving force transmission system.

  In the first case, the output torque during the operation of the set torque switch does not change, but a current value larger than that in the reference state is required to obtain the same output torque. It can be determined that the transmission efficiency of the driving force on the upstream side (input side) of the motor is reduced and a driving loss occurs. As the cause of the occurrence of the drive loss on the upstream side, for example, the deterioration of the meshing state between the electric motor 5 and the worm shaft 21 can be considered.

  On the other hand, in the second case, the current at the time of operation of the set torque switch is the same, but since it changes to the low torque side, the drive on the downstream side (output side) of the motor-operated valve 10 is performed. It can be determined that the power transmission efficiency is reduced and a driving loss occurs. As a cause of the occurrence of the drive loss on the downstream side, for example, a poor lubrication between the valve stem 14 and the stem nut built in the drive sleeve 26 and meshing with the valve stem 14 can be considered.

  Such a diagnosis result is displayed on the display means 38 and an alarm is issued by the alarm means 39, so that an appropriate response can be taken quickly and the reliability of the motor operated valve 10 is improved. . Further, it is possible to predict a maintenance time such as part replacement from the change state of the output torque.

B-2-3: Diagnosis Regarding Valve Rod Sliding Resistance of Motorized Valve 10 FIG. 5 shows an example in which an input / output curve in a reference state indicated by a solid line is changed as indicated by a broken line in the subsequent measurement. . In the first case, the line segment L1 in the reference state changes to the high torque side as indicated by the line segment L11, and the line segment L2 in the reference state changes to the high current side as indicated by the line segment L21. This is a case where there is no change in the output torque when the set torque switch is operated. In the second case, the line segment L1 in the reference state changes to the low torque side as indicated by the line segment L12, and the line segment L2 in the reference state changes to the low current side as indicated by the line segment L22. This is a case where there is no change in the set torque.

  Here, in the first case, it can be mentioned that the frictional resistance of the gland packing attached to the valve stem 14 portion has become too high. In the second case, conversely, This is because the frictional resistance of the packing is too low.

  Such a diagnosis result is displayed on the display means 38 and an alarm is issued by the alarm means 39, so that an appropriate response can be taken quickly and the reliability of the motor operated valve 10 is improved. .

B-2-4: Diagnosis Regarding Sensitivity of Yoke Stress Sensor 25 In FIG. 6, the input / output curve in the reference state indicated by the solid line shows the output during the operation of the set torque switch as indicated by the broken line in the subsequent measurements. A case is shown in which the current “G1” corresponding to the torque and the current “G2” at the time of touching the valve are maintained so as to be translated by a predetermined amount toward the low torque side as a whole.

  Such a change state is considered to be caused by a deterioration in sensitivity of the yoke stress sensor 25. Therefore, as a countermeasure for such a case, in addition to replacing the yoke stress sensor 25, for example, the output value of the yoke stress sensor 25 is changed from the minimum torque value “t1” in the reference state to the minimum torque value “after change”. It is conceivable that correction is made based on the ratio of “t2” and the corrected yoke stress is used for the subsequent diagnosis.

  Such a diagnosis result is displayed on the display means 38, and an alarm is issued by the alarm means 39, so that an appropriate response can be taken quickly and the reliability of the motor operated valve 10 is improved.

B-2-5: Diagnosis Regarding Sensitivity of Magnetic Field Sensor 8 In FIG. 7, the line segment L2 of the input / output curve in the reference state indicated by the solid line is the minimum in the subsequent measurement, as indicated by the line segment L21 indicated by the broken line. It shows the case where the output torque and the maximum output torque (the output torque when the set torque switch is operated) are maintained and the current is changed to the low current side.

  Such a change state is considered to be caused by deterioration in sensitivity of the magnetic field sensors 8A, 8B, and 8C. Therefore, as a countermeasure in such a case, in addition to replacing the deteriorated magnetic field sensor among the magnetic field sensors 8A, 8B, and 8C, for example, it is obtained based on the measurement by the magnetic field sensors 8A, 8B, and 8C. It is considered that the corrected current is corrected by the ratio of the maximum current “la” in the reference state and the maximum current “lb” after the change, and the corrected current is used for the subsequent diagnosis.

  Here, among the magnetic field sensors 8A, 8B, and 8C, it is necessary to specify a deteriorated magnetic field sensor. As this specific method, for example, in the reference state, each of the magnetic field sensors 8A, 8B, and 8C is identified. The magnetic signal obtained from each is held in the magnetic signal calculation means 31, and the magnetic signal obtained from each of the magnetic field sensors 8A, 8B, 8C is compared with each magnetic signal in the reference state after the next time. This can be easily specified.

  Incidentally, the calibration of the yoke stress sensor 25 can be performed with the yoke stress sensor 25 attached to the yoke 15 of the motor-operated valve 10.

  That is, FIG. 11 shows a change state of the yoke stress when the motor-operated valve 10 is opened. Here, the point a is a position where the compression of the valve stem 14 is completely released, the point b is a position where the valve stem 14 starts to operate, and the valve stem 14 is in the range of the points a and b. A free state is established, and no external force acts on the yoke 15. Thus, a position where no external force acts on the yoke 15 is defined as a “0-point position”. This “0-point position” always occurs when the motor-operated valve 10 is opened and closed.

  On the other hand, the area after the point c is an area where the valve element 13 is stably moving in the opening direction, and in this area, the sliding resistance mainly due to the clamping force of the gland packing acts on the valve stem 14. Since the sliding resistance is stable, a substantially constant tension (yoke stress) P acts on the yoke 15 in the region (stable region), and the value is “0”. The size is from the “point position”. Further, there is a certain correlation (linear relationship) between the yoke stress and the valve shaft force. Accordingly, the yoke stress sensor 25 can be easily calibrated by utilizing the existence of the “0-point position” and the (stable region) and the linear relationship between the yoke stress and the valve axial force. it can. Specifically, it is as follows.

  First, in addition to the yoke stress sensor 25, a valve axial force sensor (strain sensor) is temporarily installed on the valve stem 14. Then, the motor-operated valve 10 is opened, and the yoke stress is applied to both the “0 point position” and the region where the valve body 13 is stably moved, that is, a predetermined point after the point c in FIG. And the valve axial force are measured, respectively, and a correlation database of the yoke stress and the valve axial force is acquired based on the measured values at these two points. The valve axial force sensor is removed after the correlation database is acquired. When the yoke stress sensor 25 is calibrated, a valve axial force sensor (strain sensor) is temporarily installed on the valve stem 14 in addition to the yoke stress sensor 25 in the same manner as when the correlation database is acquired. The yoke stress and the valve axial force are measured by the yoke stress sensor 25 and the valve axial force sensor, respectively, at the “0-point position” and the stable range at the time of the opening operation. The yoke stress sensor 25 is calibrated by comparing this measured value with the correlation database and updating the correlation database.

According to this calibration technique, the yoke stress sensor 25 can be calibrated by operating the valve stem 14 in a part thereof, that is, in the stable region without full stroke. By using the stable period generated by the position and the clamping force of the gland packing, the yoke stress sensor 25 can be calibrated without providing a special device. The yoke stress sensor 25 can be easily and quickly calibrated.

  Further, if a valve axial force sensor is permanently installed on the valve stem 14, there is a risk that the valve stem 14 will bite into a sliding portion during the stroke of the valve stem 14. However, even if the yoke stress sensor 25 is permanently installed on the yoke 15. Since the yoke stress sensor 25 is permanently installed in the yoke 15 and the valve axial force sensor is installed only when the reference correlation database is acquired and the yoke stress sensor 25 is calibrated, The yoke stress sensor 25 can be calibrated, and the calibration work can be simplified.

II: Second Embodiment FIG. 12 shows a second embodiment in which the diagnosis method according to the present invention is applied to the diagnosis of the control rod drive device 50 as an electric device.

  The fuel rod drive device 50 has a well-known structure, and a drive shaft 56 that is driven up and down in a housing 55 and a first electromagnetic coil 51 that drives the drive shaft 56 in the axial direction by a magnetic drive force. (Hereinafter, referred to as “LIFT coil 51”), a second electromagnetic coil 52 for moving gripper that lifts and lowers the drive shaft 56 (hereinafter, referred to as “MG coil 52”), and the drive shaft 56 are fixed. A third electromagnetic coil 53 (hereinafter referred to as “SG coil 53”) for a fixed gripper gripped at a position is accommodated, and the LIFT coil 51, the MG coil 52, and the SG coil 53 are each once at a predetermined timing. By operating, the drive shaft 56 is raised or lowered by one step.

  By repeating this one-step operation many times, the control rod connected to the lower end side of the drive shaft 56 can be extracted from the core or inserted into the core. The LIFT coil 51, the MG coil 52, and the SG coil 53 correspond to “a plurality of drive units” in the claims.

  The control rod pulling-out operation or insertion operation is performed by sequentially exciting or demagnetizing the coils 51 to 53 at predetermined timings after receiving power from the power cable 2. In this case, the currents supplied to the coils 51 to 53 are LIFT signals (abbreviated as “LIFT” in FIG. 12), MG signals (abbreviated as “MG” in FIG. 12), and SG signals (see FIG. 12). 12 is abbreviated as “SG”), and is input to the later-described diagnostic device 41 side.

  Here, a method for acquiring the LIFT signal, the MG signal, and the SG signal will be described. As shown in FIG. 12, power is supplied from the electric control panel 29 through the power line 2. In this case, each power line 2 is accommodated in dedicated conduits 1A to 1C. Focusing on such a wiring structure, here, the current acquisition method applied to the first embodiment is employed.

  That is, three magnetic field sensors 8A, 8B, and 8C are attached at predetermined intervals in the circumferential direction on the outer peripheral surface of the portion where the geometric relative position with respect to the power cable 2 in each of the conduits 1A to 1C does not change. The magnetic signals generated by energizing the power cable 2 are acquired by the magnetic field sensors 8A, 8B, and 8C. And the detection signal (magnetic signal) of each said magnetic field sensor 8A, 8B, 8C with which each of each conduit tube 1A-1C was equipped is input into the magnetic signal calculating means 31, respectively.

  The magnetic signal calculation means 31 obtains a reference magnetic signal detected by each of the magnetic field sensors 8A, 8B, 8C when a reference current is passed through each of the power cables 2, and the reference current and the reference magnetic signal are obtained. Is stored as a database for each of the conduits 1A to 1C. Accordingly, when the magnetic signal is input from the magnetic field sensors 8A, 8B, 8C attached to the conduits 1A to 1C, the magnetic signal calculation means 31 generates a current corresponding to the measured magnetic signal as described above. The current read from each database is output to the diagnostic device 41 as a LIFT signal, MG signal, and SG signal, respectively. The magnetic signals detected by each of the magnetic field sensors 8A, 8B, and 8C are added to the magnetic signal calculation means 31, for example, after adding them.

  Therefore, by adopting such a current acquisition method, as in the case of the first embodiment, it is safe and easy without opening the electric control panel 29 even when the nuclear facility is in operation. The current can be acquired.

  On the other hand, the fuel rod drive device 50 is provided with a vibration sensor (accelerometer) 54. The vibration sensor 54 detects an operation sound generated with the operation of the fuel rod drive device 50 and uses this as a vibration signal (ACC signal; abbreviated as “ACC” in FIG. 12), which will be described later. Output.

Next, the configuration and the like of the diagnostic device 41 will be described.
As described above, the fuel rod driving device 50 is operated by the magnetic driving force of the coils 51 to 53. The accuracy of the operation or the reliability of the operation is determined by the coils 51 to 53. It is an essential requirement that the operation state such as the operation timing or operation time of 53 is properly maintained. Therefore, in order to ensure the accuracy of operation or the operational reliability of the fuel rod drive device 50, it is necessary to periodically diagnose the operating state of each of the coils 51 to 53. It is the diagnostic device 41 that is made available.

  The diagnostic device 41 has two types of diagnoses, that is, a “stepping test” for simply and quickly diagnosing the suitability of the operation timing of each of the coils 51 to 53 at each step of the fuel rod drive device 50; Furthermore, “detailed analysis” for analyzing the operation specifications of the ACC signal and each electrical signal, that is, the LIFT signal, the MG signal, and the SG signal can be performed simultaneously in parallel, as shown in FIG. As described above, the first diagnostic unit 42 for performing the “stepping test” and the second diagnostic unit 43 for performing the “detailed analysis” are provided.

  The “stepping test” includes “individual stepping test” for confirming the operation state of each step of the fuel rod driving device 50 and “continuous stepping test” for confirming the operation state through all steps.

  The first diagnosis unit 42 includes a first calculation unit 44, a second calculation unit 45, a display unit 46, and a first output unit 47, which will be described later. On the other hand, the second diagnosis unit 43 includes a third calculation unit 48 and a second output unit 49 described later in addition to the first calculation unit 44 and the second calculation unit 45. In any of these diagnostic units 42 and 43, each electric signal from the magnetic signal calculation means 31, that is, the LIFT signal, the MG signal, the SG signal, and the acceleration signal (ACC signal) are both waveform signals. I am trying to use it.

The first calculation unit 44 records the LIFT signal, the MG signal, and the SG signal output from the magnetic signal calculation unit 31 as waveform signals, and also records the ACC signal from the accelerometer 54 as a waveform signal. These are output to the second calculation unit 45 described below. In this embodiment, for convenience of explanation, the case where the fuel rod drive device 50 is single, that is, the case where the LIFT signal, the MG signal, and the SG signal as electrical signals are one each is illustrated. In practice, however, as will be described later, for example, four fuel rod driving devices 50 are set as one set (that is, four lots are set as one set), and each of these four fuel rod driving devices 50 is input. The four LIFT signals, the MG signal, and the SG signal are simultaneously recorded, and the waveform signals for these four lots are simultaneously output to the second arithmetic unit 45 together with the ACC signal (see FIG. 15).

  In the individual stepping test, the second arithmetic unit 45 sequentially outputs the LIFT signal, the MG signal, and the SG signal for four lots input from the first arithmetic unit 44 for each lot together with the ACC signal. The data is output to the display unit 46 on the diagnosis unit 42 side and the third calculation unit 48 on the second diagnosis unit 43 side. In the continuous stepping test, the LIFT signal, the MG signal, and the SG signal for four lots input from the first calculation unit 44 through all the steps are sequentially stored together with the ACC signal for the first diagnosis unit 42. Output to the display unit 46 on the side and the third calculation unit 48 on the second diagnosis unit 43 side.

  In the individual stepping test, the display unit 46 sequentially displays each waveform signal for each lot input from the second calculation unit 45 on the monitor (see FIG. 13), and visually checks the displayed waveform signal. Diagnosis is possible by doing.

  Further, in the continuous stepping test, each waveform signal for each lot input from the second calculation unit 45 is continuously displayed on the monitor (see FIG. 16), and the waveform signal displayed here is visually observed. Alternatively, diagnosis by automatic evaluation is possible.

  FIG. 16 shows a waveform display in the continuous stepping test. Here, an evaluation method in the continuous stepping test will be described. In this example, if the LIFT signal repeatedly displayed for each step is in an appropriate state, the waveform is the same throughout all the steps. However, in the intermediate step, the waveform differs from the other steps as indicated by the part a. The waveform is displayed. Thus, when the same waveform should be repeated originally, a different waveform appears, so that it can be visually confirmed that a failure or malfunction has occurred on the LIFT coil 51 side.

  On the other hand, when such an evaluation is automatically performed on the software, first, each waveform signal repeatedly displayed in each step and an average value of the waveform signals in all repetition periods (all steps) of the respective waveform signals are calculated. When there is a waveform signal whose deviation exceeds a predetermined threshold, the operation in the step to which the waveform signal exceeding this threshold belongs is evaluated as “careful” or “abnormal” It is. In the case of the example shown in FIG. 16, the operation in the step to which the part a belongs is evaluated as requiring attention or abnormal. According to this evaluation method, highly reliable and highly accurate evaluation can be obtained more quickly.

  The evaluation is a continuous stepping test for a waveform signal based on a specific electrical signal, for example, the LIFT signal. In addition to the continuous stepping test using such a technique, for example, a plurality of electrical signals The present invention can also be applied to a waveform signal based thereon, for example, between the above-mentioned LIFT signal, MG signal and SG signal, or between two appropriately selected. For example, among all the steps, the waveform signal based on the LIFT signal and the MG signal is normal at a certain step, but the waveform signal based on the SG signal is abnormal, and is “abnormal” when viewed as the entire step. It is to evaluate.

  Furthermore, in both the individual and continuous stepping tests, the waveform signal displayed on the display unit 46 can be printed out at the first output unit 47 and checked or stored on the paper as necessary. .

  On the other hand, in the third calculation unit 48 on the second diagnosis unit 43 side, the LIFT signal, the MG signal, and the SG signal related to the current output from the second calculation unit 45 for each lot, and the ACC signal related to the operating sound. In response, each of the waveform signals is displayed on the monitor one lot at a time, and one of these LIFT signal, MG signal and SG signal, for example, the operation of the ACC signal and each electrical signal based on the LIFT signal. The specifications are analyzed in detail, and the analysis results are converted into data and displayed (see FIGS. 13 and 14).

  Further, if necessary, the display contents and analysis results in the third calculation unit 48 are printed out in the second output unit 49 so that they can be confirmed or stored on paper.

  Here, the specific contents of the diagnosis in the diagnostic apparatus 41 will be described with reference to FIGS. 13 and 14, taking an individual stepping test as an example.

  FIG. 13A shows the LIFT signal, the MG signal, the SG signal, and the ACC signal in one step during the fuel rod pulling operation by the fuel rod driving device 50. FIG. 13B shows the LIFT signal, the MG signal, the SG signal, and the ACC signal in one step when the fuel rod driving device 50 performs the fuel rod insertion operation.

  In the display on the display unit 46 of the first diagnosis unit 42, only the waveform signals in FIGS. 13 (a) and 13 (b) are displayed. In the stepping test in the first diagnosing unit 42, temporal generation timings among the LIFT signal, the MG signal, the SG signal, and the ACC signal, that is, the LIFT coil 51, the MG coil 52, and This is because it is sufficient that the operation sequence (ON-OFF) of the SG coil 53 can be visually confirmed, and it is sufficient to display only the waveform signal.

  On the other hand, in the 3rd calculating part 48 of the said 2nd diagnostic part 43, it analyzes with the waveform display of a LIFT signal, MG signal, SG signal, and ACC signal like FIG. The result of the processing is added, and further data display as shown in FIGS. 14 (a) and 14 (b) is performed.

  Here, the specifications to be analyzed in the analysis process are defined for each of the LIFT coil 51, the MG coil 52, and the SG coil 53, as shown in FIGS.

  Regarding the operation of the LIFT coil 51, the time “TLin” from when the LIFT coil 51 begins to be excited until one-step extraction or insertion starts, and one step after the LIFT coil 51 starts to be demagnetized or inserted. The time until the end of insertion is “TLout”,

  Regarding the operation of the MG coil 52, the time “TMin” from the start of excitation of the MG coil 52 to the completion of the grip operation on the drive shaft 56 and the release of the grip on the drive shaft 56 from the start of demagnetization of the MG coil 52. Is the time “TMout” until

  Regarding the operation of the SG coil 53, the time “TSout” from the start of degaussing of the SG coil 53 until the grip opening to the drive shaft 56 is completed, and the grip operation on the drive shaft 56 from the start of excitation of the SG coil 53. Is the time “TSin” to complete.

In addition, regarding the operation between the three of these LIFT coil 51, MG coil 52 and SG coil 53,
The time “dTMS” from the arrival time of “TMin” to the start time of “TSout”,
The time “dTSM” from the start time of “TMout” to the arrival time of “TSin”;
This is the time “dTML” from the arrival time of “TMout” to the arrival time of “TLout”.

  Regarding the arrival time of “TMin”, the arrival time of “TSout”, the arrival time of “TLin”, the arrival time of “TSin”, the arrival time of “TMout”, and the arrival time of “TLout” All are determined at the rising edge of the ACC signal.

  By the way, when analyzing such specifications and diagnosing their suitability, data from the fuel rod drive device 50 side is collected. Usually, the fuel rod drive device 50 is operated continuously for several steps. In addition, since all of the data in the continuous operation period is continuously collected, it is necessary to separate data for several consecutive steps for each step as preparation for analysis. In addition, in order to perform the separation for each step, it is necessary to set the collection start time for each step.

  In such a case, it is known to use a control signal for the entire control system as one method, but this control signal is a very important signal from the viewpoint of ensuring the reliability of the control, etc. Alternatively, it is advantageous if the above steps can be separated without using this control signal in order to simplify the measurement circuit and improve reliability and cost reduction.

  Therefore, in this embodiment, any one of the LIFT signal, the MG signal, and the SG signal is used as a reference signal for separation. In this case, as shown in FIG. 13, when these LIFT signals are compared with MG signals and SG signals, the rising shape of the LIFT signal is clear and extremely easy to determine compared to other signals. The LIFT signal is used as a reference signal.

  Specifically, as shown in FIG. 13, a time point that is back by time “ts” from the excitation start time of the LIFT coil 51 in the LIFT signal (starting point of “TLin”) is set as the reference position for separation. A range from this reference position to a position where the state of each signal at the reference position is repeated again is defined as a one-step signal separation range. In this embodiment, the excitation start time of the LIFT coil 51 corresponds to a “specific waveform point” in the claims. It is also conceivable that the reference position for separation is obtained from the control circuit (for example, the point in time after a certain period of time has elapsed since the operator turned on the operation lever).

  In this way, the signals of each step are collected sequentially, and this is analyzed by calculation in the third calculation unit 48. Then, the analysis result is displayed as a waveform signal with a numerical value as shown in FIG. 13 and as analysis data of several steps as shown in FIG.

  Accordingly, the tester visually checks the displayed waveform signal and data to confirm each specification described herein and its quality, thereby easily and accurately making a diagnosis of the fuel rod drive device 50. Is something that can be done.

III: Third Embodiment In FIG. 15, a plurality of control rod drive devices 50A to 50D are provided as electric devices, and the plurality of fuel rod drive devices 50A to 50D are respectively combined into four sets as a set of data. The data is collected, and various specifications based on the data are analyzed to diagnose each of the control rod drive devices 50A to 50D.

  In this example, the twelve power lines 2 connected to the three coils 51, 52, and 53 of the four fuel rod driving devices 50, that is, the LIFTs of the fuel rod driving devices 50, respectively. Power lines 2A1, 2B1, 2C1, 2D1 connected to the coil 51, power lines 2A2, 2B2, 2C2, 2D2 connected to the MG coils 52, and power lines 2A3, 2B3 connected to the SG coil 53, respectively. 2C3 and 2D3 are divided into four power lines connected to the same coil, and are grouped together and accommodated in conduits 1A to 1C, respectively.

  Magnetic field sensors 8A, 8B, 8C, etc. are attached to the respective conduits 1A-1C in which these four power lines of the same type are accommodated, and magnetic signals detected by the magnetic field sensors 8A, 8B, 8C, etc. Based on the above, currents supplied to the coils 51 to 53 of the fuel rod drive devices 50A to 50D are acquired and input to the diagnosis device 41 to diagnose the fuel rod drive devices 50A to 50D. To do.

  In addition, since the diagnostic method and the like in the diagnostic device 41 are the same as those in the second embodiment, the corresponding description of the second embodiment is used, and the description here is omitted.

  By the way, as mentioned above, in the state where the power lines 2A1 to 2D1, 2A2 to 2D2, and 2A3 to 2D3 connected to the same coil of the fuel rod driving devices 50A to 50D are accommodated in the respective conduits 1A to 1C, When the electromagnetic signals are detected by the magnetic field sensors 8A, 8B, and 8C, it is difficult to accurately determine which signal is from which fuel rod drive device, but in this embodiment, the following method is used. By adopting, this is solved.

  That is, the electric pipe 1C will be described. As shown in an enlarged view in FIG. 15, a plurality (six in this embodiment) of magnetic field sensors 8A to 8F are attached to the outer circumference of the electric pipe 1C at a predetermined interval. In this state, a reference current is supplied to each of the fuel rod drive devices 50A to 50D with a required time difference, and magnetic signals are detected by the magnetic field sensors 8A to 8F provided in the conduit 1C. In this case, the magnetic signals generated from the power lines 2A3 to 2D3 are detected in the magnetic field sensors 8A to 8F, respectively. However, when a plurality of magnetic signals generated from the power line 2 having different distances from the magnetic field sensor are detected by the same magnetic field sensor, the signal level (voltage value) detected as the magnetic signal generated from the power line 2 having a shorter distance is detected. ) Is high.

  Therefore, when a reference current is passed through the SG coil 53 of one fuel rod drive device 50, the magnetic field sensor that detects the highest level signal among the magnetic field sensors 8A to 8F is selected. Thus, it is specified that the magnetic field sensor 8 detects the magnetic signal having the greatest influence from the SG coil 53 of the one fuel rod driving device 50. In this way, the combination of the SG coil 53 of each of the fuel rod driving devices 50A to 50D and the magnetic field sensor 8 that detects the magnetic signal from the SG coil 53 is used for all the fuel rod driving devices 50A to 50D. Identify and store this in a database.

  Further, the combination of the fuel rod driving devices 50A to 50D and the corresponding magnetic field sensor 8 is specified, and at the same time, the correspondence between the reference current and the magnetic signal based on the reference current is obtained, and this may be stored as a data database.

If these two databases are held, the current supplied to the coils 51 to 53 of the plurality of fuel rod drive devices 50A to 50D can be easily and accurately acquired by the magnetic field sensor 8 only from the next time. It is something that can be done. By using this electric signal, the diagnosis of the four fuel rod drive devices 50A to 50D can be performed simultaneously in the diagnosis device 41, and the efficiency of the diagnosis work is promoted.

1 is an overall system diagram in a first embodiment in which a diagnosis method according to the present invention is applied to diagnosis of an electric valve. It is explanatory drawing of the magnetic signal measuring method using a magnetic field sensor. It is a 1st correlation diagram of a magnetic (electric current) signal and yoke stress. It is a 2nd correlation diagram of a magnetic (current) signal and yoke stress. It is a 3rd correlation diagram of a magnetic (electric current) signal and yoke stress. It is a 4th correlation diagram of a magnetic (electric current) signal and yoke stress. FIG. 10 is a fifth correlation diagram between magnetic (current) signals and yoke stress. It is explanatory drawing of the acquisition method of the output pattern by a magnetic field sensor. It is an output pattern figure in the relationship with the electric wire position of a magnetic field sensor signal. It is an actual output pattern figure of a magnetic field sensor signal. It is explanatory drawing of the change state of the yoke stress at the time of opening operation of a motor operated valve. It is a whole system figure in a 2nd embodiment which applied the diagnostic method concerning the invention in this application to the diagnosis of a fuel rod drive device. It is a display screen of the waveform signal in fuel rod extraction operation and insertion operation of a fuel rod drive device. It is the analysis data of the waveform signal in fuel rod extraction operation and insertion operation of a fuel rod drive device. It is a whole system figure in a 3rd embodiment which applied the diagnostic method concerning the invention in this application to the diagnosis of a fuel rod drive device. It is a wave form diagram which shows the example of a waveform in a continuous stepping test.

Explanation of symbols

1 ·· Conduit tube 1A to 1C ·· Conduit tube 2 ·· Power line 4 ·· Flexible tube part 5 ·· Motor 6 ·· Electric box 7 ·· Power line 8 ·· Magnetic field sensor 10 ·· Motor valve 11 ·· Valve Body 12 ·· Valve seat 13 ·· Valve body 14 · · Valve stem 15 · · Yoke 16 · · Valve drive 21 · · Worm shaft 22 · · Worm 23 · · Worm wheel 24 · · Spring cartridge 25 · · Yoke stress sensor 26 ..Drive sleeve 29 ..Electric control panel 30 ..Diagnostic device 31 ..Magnetic signal calculation means 32 ..Electric signal calculation means 33 ..Magnetic-electric signal database 34 ..Magnetic signal-physical quantity database 35 ..Output pattern database 36 ..Diagnostic means 37 ..Output means 38 ..Display means 39 ..Alarm means 40 ..Physical quantity signal operator Stage 41 ·· Diagnostic device 42 ·· First diagnostic unit 43 ·· Second diagnostic unit 44 ·· First computation unit 45 ·· Second computation unit 46 ·· Display unit 47 ·· First output unit 48 ··· 3 calculation part 49 .. 2nd output part 50 .. Fuel rod drive device 51 .. 1st electromagnetic coil (LIFT coil)
..Second electromagnetic coil (MG coil)
..Third electromagnetic coil (SG coil)
54 ・ ・ Vibration sensors (accelerometers)
U, V, W .. Electric wire

Claims (7)

  A diagnosis method for an electric device, comprising: diagnosing the electric device based on a correlation between an electric signal corresponding to an electric amount input to the electric device and another physical quantity obtained on the electric device side. In claim 1,
A reference magnetic signal acquired by a plurality of magnetic field sensors arranged in a portion where the geometric relative position of the electric signal to the electric power line containing the electric power line for supplying power to the electric device does not change, and the reference A method for diagnosing an electric device, wherein an electric signal corresponding to a magnetic signal acquired by measurement is obtained by referring to a correlation database of reference electric signals corresponding to magnetic signals. In claim 2,
A reference output pattern between magnetic signals of each magnetic field sensor at each position when the position of each electric wire of the power line in the conduit is changed in the conduit is acquired in advance, and the reference output pattern By comparing the actual output pattern between the magnetic signals of each magnetic field sensor acquired by measurement, the position information of each electric wire in the conduit is acquired from the reference output pattern corresponding to the actual output pattern. A method for diagnosing an electric device, wherein position information is reflected in diagnosis. In claim 2,
The actual correlation pattern indicating the correlation between the magnetic signal acquired by measurement and the other physical quantity is compared with the magnetic signal in the reference state acquired in advance and the reference correlation pattern of the other physical quantity, and based on the difference between these two patterns. A method for diagnosing an electric device, comprising: diagnosing the electric device. In claim 1 or 2,
The electrical signal and the other physical quantity are each displayed as a waveform signal, whether or not the generation timing between these waveform signals is appropriate, or each waveform signal that is repeatedly displayed, and the average value of all the waveform signals over the entire repetition period The method for diagnosing an electric device is characterized in that the electric device is diagnosed based on a deviation of the electric device. In claim 1 or 2,
The electric device is composed of a plurality of electric parts, and the electric signal is acquired for each power line corresponding to each electric part,
Each of the electrical signals and the other physical quantities are displayed as waveform signals, and the appropriateness of the generation timing between the waveform signals or the waveform signals and the waveform signals that are repeatedly displayed for each motor unit. A diagnosis method for an electric device, comprising: diagnosing the electric device based on a deviation from an average value in all repetition periods. In claim 6,
Select one of the waveform signals based on each of the electrical signals as a reference waveform,
Using the specific waveform point of the reference waveform as a reference, the operating specifications of the electric parts are acquired based on the waveform signals and the other physical quantities, and the operating specifications are analyzed to process the electric equipment. A diagnostic method for an electric device characterized by performing diagnosis.

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