JP2018207650A - Feature quantity evaluation system for rotary electric machine and feature quantity evaluation method for rotary electric machine - Google Patents

Abstract

To provide a feature quantity evaluation system for a rotary electric machine and a feature quantity evaluation method that can reliably acquire important data while suppressing an increase in data capacity and can efficiently monitor an abnormal state.SOLUTION: Provided is a feature quantity evaluation system that evaluates a feature quantity indicating an operational state of a rotary electric machine, including: a feature quantity measuring device that measures the feature quantity of the rotary electric machine; a data integration device that temporarily integrates feature quantities measured by the feature quantity measuring device; a data analysis device that numerically analyzes the feature quantities integrated in the data integration device; a data determination device that makes a determination by comparing analyzed data analyzed in the data analysis device with a threshold value previously set; and a data storage device that stores the analyzed data. In the case where it is determined in the data determination device that the analyzed data is larger than or equal to the threshold value, a feature quantity in a predetermined period before and after a time point when the analyzed data becomes larger than or equal to the threshold value is selected and stored in the data storage device.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a rotating electrical machine monitoring system and a monitoring method, and more particularly to a technique effective for efficient monitoring of abnormal conditions.

  A large number of vibration sensors, electromagnetic sensors, and temperature sensors are attached to a rotating electric machine such as a turbine generator, and feature quantities such as vibration, electricity, magnetism, and temperature are constantly monitored.

  In particular, when monitoring the electromagnetic vibration at all times in order to catch the sign of the electromagnetic vibration of the double frequency component during operation, it is necessary to collect data at a sampling frequency exceeding the quadruple rotation frequency. The operating frequency is often 50 Hz to 60 Hz, and the amount of data becomes enormous when data is continuously acquired at a sampling frequency of four times or more. Since the data storage area is also limited, it is necessary to efficiently acquire data of these feature amounts.

  As a background art in this technical field, for example, there is a technique such as Patent Document 1. Patent Document 1 “has a data collection unit that collects signals from a vibration sensor, a data analysis unit, and a data monitoring unit that monitors whether there is an abnormality, and transfers data to a storage unit when data abnormality is determined. An example of a vibration monitoring device for storing data and an algorithm thereof is disclosed.

  Further, Patent Document 2 discloses a “remote vibration monitoring apparatus that performs multipoint vibration monitoring over a wide range and estimates the cause of abnormality such as identification of a vibration transmission path and an abnormality occurrence location from the correlation of detection data”. ing.

JP 2003-167623 A JP 2006-242826 A

  Considering the finite data capacity, if any abnormality occurs during the operation of the rotating electrical machine, it is possible to detect the abnormality and save the feature quantity (data) such as vibration, electricity, magnetism, temperature, etc. However, data immediately before the occurrence of the abnormality cannot be obtained, and it may be difficult to investigate the cause of the abnormality.

  In addition, in order to grasp the operation of the rotating electrical machine more efficiently, it is also necessary to monitor data at the time of starting or stopping the operation of the rotating electrical machine and when the operating conditions change (when the current, voltage, rotational speed, etc. change). Although effective, if you try to collect these data, the amount of data will increase further.

  Although both Patent Document 1 and Patent Document 2 are related to vibration monitoring, there is no description regarding acquisition of data before and after occurrence of an abnormality as described above and acquisition of data when operating conditions change.

  Accordingly, an object of the present invention is to selectively acquire and store data of a feature value under a predetermined condition when the feature value indicating the operating state of the rotating electrical machine changes in the monitoring system and monitoring method of the rotating electrical machine. Thus, an object of the present invention is to provide a feature quantity evaluation system and a feature quantity evaluation method for a rotating electrical machine that can reliably acquire important data while suppressing an increase in data capacity and can efficiently monitor an abnormal state.

  In order to solve the above problems, the present invention provides a feature quantity evaluation system for evaluating a feature quantity indicating an operating state of a rotating electrical machine, the feature quantity measuring apparatus for measuring the feature quantity of the rotating electrical machine, and the feature quantity. A data accumulation device that temporarily accumulates feature quantities measured by the measurement device, a data analysis apparatus that numerically analyzes the feature quantities accumulated in the data accumulation device, and analysis data analyzed by the data analysis apparatus are preset. And a data storage device that stores the analysis data. When the data determination device determines that the analysis data is equal to or greater than the threshold, the analysis data is A feature amount for a predetermined period before and after a time when the threshold value is exceeded is selected and stored in the data storage device.

  The present invention is also a feature quantity evaluation method for evaluating a feature quantity indicating an operating state of a rotating electrical machine, wherein the feature quantity of the rotating electrical machine is measured, the measured feature quantity is temporarily accumulated, and the accumulation is performed. The analyzed feature value is numerically analyzed, the analysis data of the analyzed feature value is compared with a preset threshold value, and when the analysis data is determined to be equal to or greater than the threshold value, the analysis data is equal to or greater than the threshold value. A feature amount for a predetermined period before and after a certain point is selected and the analysis data is stored.

  According to the present invention, in a rotating electrical machine monitoring system and monitoring method, a rotating electrical machine feature quantity evaluation system and characteristics capable of reliably acquiring important data and efficiently monitoring abnormal states while suppressing an increase in data capacity. A quantity evaluation method can be realized.

  Problems, configurations, and effects other than those described above will be clarified by the following description of embodiments.

It is a block diagram which shows schematic structure of the feature-value evaluation system of the rotary electric machine which concerns on one Embodiment of this invention. It is a partial cross section figure of the rotary electric machine which concerns on one Embodiment of this invention. It is a figure which shows notionally the data storage time slot | zone after an analysis. It is a figure which shows notionally the data storage time slot | zone when an operating condition changes. It is a flowchart which shows the feature-value evaluation method of the rotary electric machine which concerns on one Embodiment of this invention. It is a block diagram which shows schematic structure of the feature-value evaluation system of the rotary electric machine which concerns on one Embodiment of this invention. It is a block diagram which shows schematic structure of the feature-value evaluation system of the rotary electric machine which concerns on one Embodiment of this invention. It is a block diagram which shows schematic structure of the feature-value evaluation system of the rotary electric machine which concerns on one Embodiment of this invention. It is a block diagram which shows schematic structure of the feature-value evaluation system of the rotary electric machine which concerns on one Embodiment of this invention. It is a block diagram which shows schematic structure of the feature-value evaluation system of the rotary electric machine which concerns on one Embodiment of this invention. It is a block diagram which shows schematic structure of the feature-value evaluation system of the rotary electric machine which concerns on one Embodiment of this invention. It is a block diagram which shows schematic structure of the feature-value evaluation system of the rotary electric machine which concerns on one Embodiment of this invention.

  Embodiments of the present invention will be described below with reference to the drawings. In the drawings, the same components are denoted by the same reference numerals, and detailed description of the overlapping portions is omitted.

  With reference to FIGS. 1 to 5, a feature amount evaluation system and feature amount evaluation method for a rotating electrical machine according to a first embodiment of the present invention will be described. FIG. 1 is a block diagram illustrating a schematic configuration of a feature quantity evaluation system for a rotating electrical machine according to the present embodiment, and FIG. 2 is a partial cross-sectional view of the rotating electrical machine to be monitored. FIG. 3 is a diagram illustrating an example of a data storage time zone after analysis by the feature amount evaluation system of the present embodiment. FIG. 4 shows an example of the data storage time zone when the operating conditions change. FIG. 5 is a flowchart showing a feature quantity evaluation method for a rotating electrical machine according to this embodiment, and shows an example of a typical feature quantity evaluation method of the present invention corresponding to the feature quantity evaluation system of FIG.

  In this embodiment, a vibration sensor is applied to a turbine generator as a feature quantity evaluation (measurement) device. However, if a feature quantity can be evaluated (measured), an electric sensor, a magnetic sensor, a temperature sensor, etc. The sensor may be applied. Further, the present invention is not limited to the turbine generator, and may be applied to other rotating electric machines.

  First, the structure of the rotating electrical machine that is the subject of the present invention will be described with reference to FIG. The rotating electrical machine 100 is mainly composed of a cylindrical stator 110 and a rotor 120 that is rotatably supported inside thereof. The stator 110 includes a stator core 111, a stator coil 112, and a stator frame 113. The stator coil 112 is wound around a slot formed on the inner periphery of the stator core 111.

  The stator coil end 114 of the rotating electrical machine 100 is mainly composed of a portion in which the stator coil 112 protrudes from the stator core 111 in the axial direction and a support member group that supports the portion. The coil end 114 may vibrate. In particular, during rated operation, the electromagnetic force acts to deform into an ellipse, and the deformation rotates in accordance with the rotation of the rotor. It is necessary to suppress the vibration mode in which the stator coil end portion 114 is deformed into an ellipse shape. In the impact test, there are a plurality of modes in which the stator coil end 114 is deformed into an ellipse. When the double frequency of operation matches the natural frequency of the elliptically deforming mode, a large vibration is generated at the stator coil end 114.

  In response to this phenomenon, vibration sensors may be attached to the stator core 111, the stator coil end 114, and the stator frame 113, which are the stator system, in order to monitor the operating state. For example, a plurality of vibration sensors are attached to the end of the stator coil 112 and the end of the stator core 111 where the vibration amount is likely to increase and the vibration mode is easily captured in consideration of the vibration mode and the direction of vibration. In addition, in order to capture the vibration mode of the stator core 111, a plurality of vibrations are attached to the vibration nodes and abdomen of the stator core 111 in consideration of the vibration mode and the direction of vibration.

  In the case of a two-pole rotating electric machine, a vibration mode in which the stator coil end portion 114 is deformed into an ellipse appears at a double frequency. In order to acquire this vibration mode, it is necessary to acquire the sensor characteristic amount at a sampling frequency exceeding four times the rotation frequency. If this feature amount is continuously acquired by all the sensors, the data amount becomes enormous, and there is a possibility that the data storage area (storage capacity) is insufficient. If the data storage interval is set to an arbitrary time in consideration of the shortage of the data storage area (storage capacity), data acquisition may not be possible at the moment when the data changes greatly, such as exceeding the limit value.

  FIG. 1 shows a schematic configuration of a feature quantity evaluation system for a rotating electrical machine according to the present embodiment. As shown in FIG. 1, the feature amount evaluation system 10 of the present embodiment includes a feature amount measuring device A1A and a feature amount measuring device B1B configured by various sensors, electromagnetic sensors, temperature sensors, and the like, a data logger, and the like. The data storage device 2 is composed of a data analysis device 3 composed of a Fourier transformer, a data analysis device 3, a data judgment device 4, and a data storage device 5 composed of a hard disk. Moreover, the driving | running state determination apparatus 6 and the data determination apparatus 4 which capture the change of a driving | running state are connected, and the cooperation is maintained.

  Although a plurality of feature quantity measuring devices are shown in FIG. 1 (here, two feature quantity measuring devices A and B), other devices other than the feature quantity measuring device (for example, the data accumulation device 2 and the data storage device 5). ) May be present.

  In the configuration of FIG. 1, specifically, data measured by the feature amount measuring device 1 (feature amount measuring device A1A, feature amount measuring device B1B) attached to the rotating electrical machine 100 is temporarily stored in the data accumulation device 2. Then, the data analysis device 3 performs numerical analysis. When the analyzed data exceeds a preset threshold, the data determination device 4 determines whether the data can be stored, and stores the data stored in the data accumulation device 2 in the data storage device 5.

When storing the data after analysis, data between arbitrary time zones t1 and t2 before and after exceeding the threshold as shown in FIG. 3 is saved, and data outside this time zone is rejected (discarded). Note that T ₁ = t ₀ -t ₁ and T ₂ = t ₂ -t ₀ may be different values. That is, the time zone for storing data in the data storage device 5 may be the same time zone before and after exceeding the threshold (T ₁ = T ₂ ), or may be different lengths (T ₁ > T ₂ or T ₁ <T ₂ ).

  Further, even when an arbitrary feature amount exceeds the threshold value and other feature amounts do not exceed the threshold value, both data may be stored. It is assumed that the sampling number of the feature quantity measuring device exceeds four times the rotation frequency. In addition, the operation state is monitored by the operation state determination device 6, and data in an arbitrary time zone before and after the change is stored even when the rotation speed or active power of the rotating electrical machine 100 changes.

  According to the present invention, when the data (feature amount) indicating the operating state of the rotating electrical machine 100 exceeds a threshold value or when some abnormal event occurs in the rotating electrical machine 100, the data can be reliably acquired. It is relatively easy to investigate the cause of the above threshold. This can reduce the time required for the countermeasure. In particular, by setting the sampling frequency to 4 times or more of the rotation frequency and analyzing the frequency component with the data analysis device 3, it is possible to capture the electromagnetic vibration of the rotation twice frequency component of the stator coil end portion 114 without omission. It becomes.

Further, a physical model for elucidating the phenomenon can be acquired by monitoring the change of the driving state with the driving state determination device 6 and acquiring data even when the driving condition changes. As shown in FIG. 4, when the operating condition gradually changes from time t ₃ to t ₄ , an arbitrary time T ₁ before the change of the operating condition, an arbitrary time T ₂ when the operating condition changes, and an arbitrary time T ₂ after the operating condition changes. Data, that is, data between times t ₅ and t ₆ is stored in the data storage device 5.

  For example, when the current value flowing through the stator coil 112 changes, the electromagnetic force is proportional to the square value of the current value, so the vibration amplitude of the stator coil 112 has a correlation with the square value of the current. In order to elucidate the vibration phenomenon, it is necessary to acquire data even in complicated cases where the active power and reactive power change.

  Here, the change in the operating state includes not only a change in electromagnetic parameters but also a change in the number of rotations of the rotor 120 for starting and stopping. For example, even when the electromagnetic force is not applied by changing only the rotation frequency without operating the exciter, the data is acquired and the frequency component of the vibration is analyzed by the data analysis device 3 so that the electromagnetic vibration of the double rotation frequency In addition, it is possible to capture a vibration phenomenon caused by mechanical vibration derived from the rotation of the rotor 120 and vibration transmission thereof. Since a plurality of sensors are attached to the stator 110, the vibration mode can be acquired and the resonance frequency of mechanical excitation can be acquired.

  Since this mechanical vibration changes the distance between the stator core 111 and the rotor 120, there is a possibility of indirectly affecting the electromagnetic vibration. By analyzing the data, it is possible to capture the phenomenon of electromagnetic vibration affected by mechanical vibration. The reliability of the stator system can be improved by reflecting these vibration phenomena in the design and maintenance.

  A feature amount evaluation method using the feature amount evaluation system described above is shown in the flowchart of FIG.

First, an operation state such as vibration and temperature of the rotating electrical machine 100 is measured by the feature amount measuring device (sensor) 1 attached to the rotating electrical machine 100. (Step S1)
Next, the measurement data measured in step S1 is temporarily stored in the data accumulation device 2 configured by a data logger or the like. (Step S2)
Subsequently, numerical analysis is performed on the measurement data temporarily stored in the data accumulation device 2 by the data analysis device 3 configured by a Fourier transformer or the like. (Step S3)
In parallel with the processing from step S1 to step S3, the operating state determination device 6 monitors parameters indicating the operating state such as the rotational speed and active power of the rotating electrical machine 100. (Step S4)
Subsequently, the analysis data acquired in steps S1 to S3 and the parameter data relating to the operating state acquired in step S4 are input to the data determination device 4, and each of the input analysis data and the data relating to the operating state and a preset threshold value are input. Are compared. (Step S5)
When it is determined that the analysis data and the data related to the driving state are equal to or greater than a preset threshold value, a predetermined time zone before and after exceeding the threshold value (for example, between t _{1 and} t _{2 in} FIG. 3 or t _{5 to} t _{6 in} FIG. 4). Data) is stored in the data storage device 5 composed of a hard disk or the like. (Step S6)
On the other hand, if it is determined that the analysis data or the data relating to the operation state is less than a preset threshold value, the data temporarily stored in the data accumulation device 2 in step S2 is rejected (discarded). (Step S7)
Important information (feature amount) for grasping the operation state of the rotating electrical machine 100 while suppressing the data capacity by continuing (repeating) the feature amount evaluating method of step S1 to step S7 described above during the operation of the rotating electrical machine 100. ) Is efficiently acquired, and the feature quantity is evaluated only when an abnormality occurs, and is used to investigate the cause of the abnormality.

  As described above, according to the feature amount evaluation system and feature amount evaluation method for a rotating electrical machine of this embodiment, important data can be reliably obtained while suppressing an increase in the data capacity of measurement data and monitoring data related to the operating state of the rotating electrical machine. It is possible to obtain and efficiently monitor abnormal conditions.

  Note that when performing data analysis, a feature quantity evaluation system may be constructed using a data analysis apparatus 3 that performs statistical processing or mathematical processing applied to physical theory and evaluates correlation. By evaluating the correlation between a plurality of feature amounts, the controllable feature amount can be appropriately changed when there is a feature amount to be controlled. When the feature quantity to be controlled is related to a failure, the failure can be prevented by controlling the feature quantity.

  With reference to FIG. 6, the characteristic quantity evaluation system of the rotary electric machine of the 2nd Example of this invention is demonstrated. FIG. 6 is a block diagram illustrating a schematic configuration of a feature quantity evaluation system for a rotating electrical machine according to the present embodiment, which is a modification of the feature quantity evaluation system illustrated in FIG. 1 (Embodiment 1).

  As shown in FIG. 6, the feature quantity evaluation system 10 of the present embodiment is implemented in that data is determined from the output value of the feature quantity, and operation parameters can be controlled using the operation control device 31 further. Different from Example 1.

  As in this embodiment, by controlling the rotating electrical machine 100 by the operation control device 31 based on the monitoring data related to the operating state of the rotating electrical machine 100 acquired from the operating state determination device 6, for example, an excessive load is applied to the rotating electrical machine. The action can be suppressed, and the reliability of the rotating electrical machine 100 can be improved.

  With reference to FIG. 7, a feature quantity evaluation system for a rotating electrical machine according to a third embodiment of the present invention will be described. FIG. 7 is a block diagram illustrating a schematic configuration of a feature quantity evaluation system for a rotating electrical machine according to the present embodiment, which is yet another modification of the feature quantity evaluation system illustrated in FIG. 1 (Embodiment 1).

  As shown in FIG. 7, the feature quantity evaluation system 10 of the present embodiment further uses a data identification device 41 that evaluates analysis parameters and physical property values in reverse by using numerical analysis together with the obtained feature quantities. This is different from the first embodiment in that the feature amount is evaluated.

  In the present embodiment, the data identification device 41 can identify the change in the physical property value due to the long-term operation of the rotating electrical machine, and the parts can be replaced at an appropriate time. Here, “identification” is used synonymously with “analogue” or “estimation”.

  With reference to FIG. 8, a feature quantity evaluation system for a rotating electrical machine according to a fourth embodiment of the present invention will be described. FIG. 8 is a block diagram illustrating a schematic configuration of a feature quantity evaluation system for a rotating electrical machine according to the present embodiment, which is a modification of the feature quantity evaluation system illustrated in FIG. 7 (third embodiment).

  As shown in FIG. 8, the feature quantity evaluation system 10 of this embodiment collates with the material database 53 in which the material property values of the materials constituting each part of the rotating electrical machine 100 are stored, and the material property value changes with time. It is different from the other embodiments in that it includes a time-dependent change determination device 52 that evaluates the above and indicates the repair timing of the rotating electrical machine 100.

  As in this embodiment, the material database 53 is used to evaluate the temporal change characteristics of the physical properties of the materials constituting the rotary electric machine 100, and the time change determination device 52 determines the repair time of the rotary electric machine 100 based on the evaluation result. By giving an instruction (determination), only necessary members can be exchanged, and the reliability of the rotating electrical machine 100 can be improved at a low price.

  With reference to FIG. 9, the characteristic quantity evaluation system of the rotary electric machine of the 5th Example of this invention is demonstrated. FIG. 9 is a block diagram illustrating a schematic configuration of a feature quantity evaluation system for a rotating electrical machine according to the present embodiment, which is another modification of the feature quantity evaluation system illustrated in FIG. 1 (Embodiment 1).

  As shown in FIG. 9, the feature quantity evaluation system 10 of the present embodiment learns (evaluates) a normal state and an abnormal state in time series from the accumulated data, performs data analysis, and then performs a data analysis device 4 in advance. The second embodiment is different from the first embodiment in that it further includes a threshold updating device 61 that autonomously (automatically) updates the set threshold.

  As in the present embodiment, the threshold value updating device 61 updates the threshold value set in advance in the data determination device 4 autonomously (automatically), whereby an arbitrary feature amount suddenly changes and after the change. Even if the feature amount does not exceed the pre-update threshold, if the feature amount is updated, it is possible to capture a sudden change in the feature amount and issue a warning. By making an operation plan and a repair plan using this, it is possible to perform appropriate repairs before the rotating electrical machine 100 breaks down.

  With reference to FIG. 10, a feature quantity evaluation system for a rotating electrical machine according to a sixth embodiment of the present invention will be described. FIG. 10 is a block diagram illustrating a schematic configuration of a feature quantity evaluation system for a rotating electrical machine according to the present embodiment, which is another modification of the feature quantity evaluation system illustrated in FIG. 1 (Embodiment 1).

  As shown in FIG. 10, the feature quantity evaluation system 10 of the present embodiment is different from the first embodiment in that it includes a warning transmission device 81 that transmits a warning sound or a warning display when the feature quantity exceeds a threshold value. . Specific examples of the warning transmission device 81 include voice output by a speaker, display by a display device (display), display on a personal computer (PC) monitor, and the like.

  As in the present embodiment, when the data determination device 4 determines that the feature value exceeds a preset threshold value, a warning sound or a warning display is transmitted, whereby the feature value (data) is stored in the data storage device 5. At the same time, the operator (administrator) is notified at an early stage, and it is possible to cope with the abnormality at an appropriate timing.

  With reference to FIG. 11, a feature quantity evaluation system for a rotating electrical machine according to a seventh embodiment of the present invention will be described. FIG. 11 is a block diagram illustrating a schematic configuration of a feature quantity evaluation system for a rotating electrical machine according to the present embodiment, which is another modification of the feature quantity evaluation system illustrated in FIG. 1 (Embodiment 1).

  As shown in FIG. 11, the feature quantity evaluation system 10 of the present embodiment is configured by a single feature quantity evaluation device 91 for each function of data analysis, data determination, data storage, and a plurality of functions of operation state determination. This is different from the first embodiment.

  As in the present embodiment, by configuring with a single device (feature amount evaluation device 91 including a plurality of functions) that is integrated with some devices constituting the feature amount evaluation system 10, The size of the quantity evaluation system can be reduced, and the space can be used effectively.

  FIG. 11 shows an example in which the feature quantity evaluation device 91 includes the functions of the data analysis area 3 ′, the data determination area 4 ′, and the data storage area 5 ′. However, the present invention is not limited to this, and other arbitrary functions may be used.

  With reference to FIG. 12, a feature quantity evaluation system for a rotating electrical machine according to an eighth embodiment of the present invention will be described. FIG. 12 is a block diagram illustrating a schematic configuration of a feature quantity evaluation system for a rotating electrical machine according to the present embodiment, which is an example of a feature quantity evaluation system having all the configurations of the first to sixth embodiments.

  When the feature value indicating the operating state of the rotating electrical machine 100 is changed by the feature value evaluation system 10 according to the present embodiment, the data of the feature value is selectively acquired and stored under a predetermined condition, so that the data capacity It is possible to reliably acquire important data while suppressing an increase in the number of errors and efficiently monitor abnormal conditions.

  In each of the first to sixth embodiments, the feature amount measurement may be based on image recognition. For example, vibration amplitude measured by a camera, temperature distribution by thermography, strain distribution acquired by an image correlation method, particle image flow velocity measurement method, and the like are included, and any method may be used as long as the feature amount can be evaluated two-dimensionally. A phenomenon can be easily captured by acquiring an image, analyzing the image, and evaluating a threshold value, so that a more reliable rotating electrical machine can be designed.

  In addition, the configuration order (connection relationship) of each device (each region) constituting the feature quantity evaluation system 10 is not limited to the configuration order (connection relationship) shown in the drawings of each embodiment, and part or plural It is also possible to replace these devices.

  Further, in each of the above embodiments, the feature amount evaluation system 10 has been described using an example configured as one integrated system. For example, in FIG. 1, the feature amount measurement devices A and B and the data accumulation device are Installed at the site where the rotating electrical machine is installed, and the data analysis device, data judgment device, data storage device, and operation state judgment device are installed as a monitoring system in the monitoring building far from the site. It is also possible to configure as a cloud system connected by wireless communication or wired communication, and the present invention includes these configurations.

  In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

DESCRIPTION OF SYMBOLS 1 ... Feature-value measuring apparatus 1A ... Feature-value measuring apparatus A
1B ... Feature quantity measuring apparatus B
DESCRIPTION OF SYMBOLS 2 ... Data integration device 3 ... Data analysis device 4 ... Data determination device 5 ... Data storage device 6 ... Operation state determination device 10 ... Feature quantity evaluation system 31 ... Operation control device 41 ... Parameter identification device 52 ... Temporal change determination device 53 ... Material database 61 ... Threshold update device 81 ... Warning transmission device 91 ... Feature quantity evaluation device including a plurality of functions 100 ... Rotating electric machine 110 ... Stator 111 ... Stator core 112 ... Stator coil 113 ... Stator frame 114 ... Fixed Child coil end 120: rotor.

Claims (15)

A feature value evaluation system for evaluating a feature value indicating an operating state of a rotating electrical machine,
A feature quantity measuring device for measuring the feature quantity of the rotating electrical machine;
A data accumulation device that temporarily accumulates the feature values measured by the feature value measurement device;
A data analysis device for numerically analyzing the feature values accumulated in the data accumulation device;
A data determination device that compares the analysis data analyzed by the data analysis device with a preset threshold value;
A data storage device for storing the analysis data,
When the data determination device determines that the analysis data is equal to or greater than the threshold value, the feature value for a predetermined period before and after the time when the analysis data is equal to or greater than the threshold value is selected and stored in the data storage device. This is a feature evaluation system for rotating electrical machines. It is the feature-value evaluation system of the rotary electric machine of Claim 1, Comprising:
An operation state determination device for determining an operation state of the rotating electrical machine;
In the data determination device, when it is determined that the operating parameter related to the operating state of the rotating electrical machine is equal to or greater than a preset threshold, a feature amount for a predetermined period before and after the time when the operating parameter is equal to or greater than the threshold is selected. And storing the data in the data storage device. It is the feature-value evaluation system of the rotary electric machine of Claim 1 or 2, Comprising:
The feature quantity evaluation system for a rotating electrical machine, wherein the feature quantity measuring device measures the feature quantity of the rotating electrical machine at a sampling frequency that is four times or more of the rotational frequency during steady rotation of the rotating electrical machine. It is the feature-value evaluation system of the rotary electric machine of any one of Claim 1 to 3,
The data analysis apparatus extracts a plurality of arbitrary data when performing data analysis, performs statistical analysis using the extracted data, and evaluates the correlation, and evaluates the feature quantity of the rotating electrical machine. It is the feature-value evaluation system of the rotary electric machine of any one of Claim 1 to 3,
The data analysis device is a feature quantity evaluation system for a rotating electrical machine that performs a mathematical expression process that applies extracted data to a physical theory to evaluate a correlation. It is the feature-value evaluation system of the rotary electric machine of any one of Claim 1 to 5,
An operation control device for controlling an operation parameter of the rotating electrical machine from an output value of an arbitrary feature amount;
The operation control device controls an operation parameter of the rotating electrical machine based on the selected feature amount when the data determination device determines that the analysis data is equal to or greater than the threshold value. Quantity evaluation system. It is the feature-value evaluation system of the rotary electric machine of any one of Claim 1 to 6,
Equipped with a parameter identification device to identify parameters of numerical analysis or numerical calculation model,
The parameter identification device identifies a change in a physical property value of the rotating electrical machine from a feature stored in the data storage device. It is the feature-value evaluation system of the rotary electric machine of Claim 7, Comprising:
A material database for storing material property values of members constituting the rotating electrical machine;
A time-dependent change determination device for evaluating a time-dependent change characteristic of the material physical property value of the member,
A feature amount evaluation system for a rotating electrical machine that determines a repair time of the rotating electrical machine based on an evaluation result of the temporal change determination device. It is the feature-value evaluation system of the rotary electric machine of any one of Claim 1 to 8, Comprising:
A threshold update device that automatically updates the threshold of the data determination device;
The threshold update device evaluates the normal state and the abnormal state in time series from the feature amount stored in the data storage device, and updates the threshold value of the data determination device. . It is the feature-value evaluation system of the rotary electric machine of any one of Claim 1 to 9,
A feature evaluation system for a rotating electrical machine, comprising: a warning transmission device for transmitting a warning to the outside when the data determination device determines that the analysis data is equal to or greater than the threshold value. It is the feature-value evaluation system of the rotary electric machine of any one of Claim 1 to 10,
The feature quantity evaluation apparatus for a rotating electrical machine, wherein the feature quantity measuring device measures the feature quantity of the rotating electrical machine by image recognition. It is the feature-value evaluation system of the rotary electric machine of any one of Claim 1 to 11,
A feature quantity evaluation system for a rotating electrical machine comprising a device unit in which functions of a plurality of devices are integrated among the devices constituting the feature quantity evaluation system. A feature value evaluation method for evaluating a feature value indicating an operating state of a rotating electrical machine,
Measure the feature quantity of the rotating electrical machine,
Temporarily collecting the measured feature values,
Numerically analyzing the accumulated feature values;
The analysis data of the analyzed feature value is compared with a preset threshold value,
When it is determined that the analysis data is equal to or greater than the threshold value, the rotating electrical machine is characterized by selecting a feature amount for a predetermined period before and after the time when the analysis data is equal to or greater than the threshold value and storing the analysis data Feature amount evaluation method. A method for evaluating a feature amount of a rotating electrical machine according to claim 13,
Obtaining operating parameters relating to the operating state of the rotating electrical machine;
When it is determined that the operation parameter is equal to or greater than a preset threshold, the operation parameter is selected for a predetermined period before and after the operation parameter becomes equal to or greater than the threshold, and the operation parameter is stored. A method for evaluating the feature quantity of a rotating electrical machine. A method for evaluating a feature quantity of a rotating electrical machine according to claim 13 or 14,
A method for evaluating a feature quantity of a rotating electrical machine, wherein the feature quantity of the rotating electrical machine is measured at a sampling frequency that is four times or more the rotational frequency during steady rotation of the rotating electrical machine.

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