TWI683112B - State analyser, displaying method thereof, and computer program product thereof - Google Patents

Abstract

A state analyzer (10) includes: a current acquisition unit (11) configured to acquire a current signal flowing to a target device (30); a parameter calculation unit (12) configured to calculate values of a plurality of parameters that varies depending on the state of the target device based on the current signal and that have mutual correlation, at a timing related to a predetermined cycle; and a display information generating unit (17) configured to generate display information in a coordinate space with each of the plurality of parameters as an axis, the display information including a dividing line representing a predetermined threshold which is a criterion for judging the state of the target device, a first figure representing values of the plurality of parameters relating to one timing, and a second figure representing a variation amount of the plurality of parameter values calculated at a different timing from the one timing.

Description

State analysis device, display method, and computer program product

The invention relates to a state analysis device, a display method, and a program.

This case claims priority against Japanese Patent Application No. 2017-019899 filed in Japan on February 06, 2017, and the contents are used here.

In equipment such as power plants, in order to monitor the operating state of the device, a current clamp is sandwiched between predetermined parts of the device to measure the current signal. At this time, the monitoring device generates a graph of the frequency range of the current by performing a fast Fourier transform on the measured current signal, and displays it on the screen (see, for example, Patent Document 1). Next, the examiner observes the displayed frequency range graph to detect and recognize the abnormality of the device. Specifically, the examiner specifies the parameter indicating the predetermined operation of the device from the observation result of the frequency range graph, and specifies the state of the operation related to the parameter.

[Prior Technical Literature] [Patent Literature]

[Patent Document 1] Japanese Patent No. 5828948

However, reading the frequency range chart requires proficiency, and it is difficult for non-skilled persons to recognize the state of the device from the frequency range chart. In addition, although the frequency range graph shows the instantaneous state of the device, the frequency range graph does not show how the state from the past has changed. Therefore, it is difficult to predict the state change of the device only by observing the frequency range graph. In addition, with the parameters specified by the frequency range chart, the state of the operation associated with the parameter can be specified, but it is difficult to specify the state where no correlation is established with individual parameters.

An object of the present invention is to provide a state analysis device, a display method, and a program that can easily recognize the state and change of the target device.

According to the first aspect of the present invention, the state analysis device is provided with: a current acquisition part which acquires the current signal flowing to the target device; a parameter calculation part which calculates based on the aforementioned current signal at a timing related to a certain period The value of a complex parameter that changes according to the state of the aforementioned target device and has a correlation with each other; and a display information generation unit that generates display information in a coordinate space with each of the complex parameter as an axis, the display information is configured as: A division line of a preset threshold value that becomes a criterion for determining the state of the target device; a first graph showing the value of the complex parameter about a time sequence; and a change in the value of the complex parameter calculated at different times The second graph of the volume.

According to the second aspect of the present invention, the state analysis device of the first aspect may also generate for the display information generation unit, if at least one value of the complex parameter related to different timings crosses the threshold value, a The above shows the informant.

According to the third aspect of the present invention, the state analysis device of the first aspect may also provide the display information generation unit with at least one value of the complex parameter at different timings crossing the threshold value and not crossing the threshold In the case of the threshold, the display form of the first pattern described above is different.

According to the fourth aspect of the present invention, in the state analysis device of any one of the first to third aspects, the state of the object device may include: the object device is in a normal normal state, and the object device is An abnormal abnormal state and a state where the state of the target device may transition to an abnormal state, that is, an attention state, the display information generation unit generates a first division line that includes the normal state and the attention state, and distinguishes the attention The second division line between the state and the abnormal state serves as the person who displays the information on the division line.

According to the fifth aspect of the present invention, in the state analysis device of any one of the first to fourth aspects, the target device may include a motor that rotates around the rotor and an auxiliary machine that rotates together with the rotor Device, the complex parameter is selected from the group consisting of a parameter indicating the overall state of the target device, a parameter indicating the state of the rotor, a parameter indicating the misalignment state of the rotor and the auxiliary machine, and a current effective value flowing to the motor A plurality of parameters, a group of parameters, a parameter indicating the power quality of the current, and a parameter indicating the state of the auxiliary machine.

According to the sixth aspect of the present invention, the display method includes: obtaining a current signal flowing to the target device; at a timing related to a certain period, according to the current signal, calculating a complex number that varies according to the state of the target device and has a correlation with each other The value of the parameter; calculating the amount of change in the value of the complex parameter calculated at different timings; and displaying the display information in the coordinate space around each of the complex parameter as the axis, the display information is configured to indicate: the target device The division line of the threshold value of the criterion for judging the state; the first graph showing the value of the complex parameter for a time sequence; and the second graph showing the amount of change.

With the seventh aspect of the present invention, the program is used to cause the computer to perform the following: obtain the current signal flowing to the target device; at a timing related to a certain period, according to the current signal, calculate the state change of the target device and have each other The value of the complex parameter of the correlation; calculating the amount of change in the value of the complex parameter calculated at different timings; and generating the display information in the coordinate space around each of the complex parameter as the axis, the display information is configured as: The distinction line of the threshold value of the criterion for judging the state of the target device; the first graph showing the value of the complex parameter about a time sequence; and the second graph showing the amount of change.

With at least one of the above-mentioned aspects, the state analysis device calculates the parameter from the current signal, and generates display information that causes the parameter to be displayed together with the distinction line indicating the threshold value. With this, the state of the target device can be specified even if no proficiency is required based on the displayed information. In addition, the state analysis device generates display information that graphically displays the amount of change in the parameter. In this way, the state transition of the target device can be recognized based on the displayed information. In addition, the state analysis device arranges graphs representing the parameters in the coordinate space around each of the complex parameters having a correlation with each other. In this way, by recognizing the deviation of the parameter or the amount of change of the parameter, it is possible to specify a state in which no correlation is established with the individual parameter.

The first embodiment will be described in detail below with reference to the drawings. FIG. 1 is a schematic diagram showing the configuration of the state analysis system of the first embodiment. The state analysis system 1 of the first embodiment includes a state analysis device 10, a display device 20, a target device 30, a three-phase AC power supply 40, a power line 50, and a clamp ammeter 60. The state analysis device 10 of the first embodiment causes the display device 20 to display information indicating the state of the target device 30 to be inspected. The target device 30 of the first embodiment is a rotating machine system including an auxiliary machine such as a motor driven by a three-phase AC power source and a pump or fan that rotates together with a rotor included in the motor. The target device 30 is connected to the three-phase AC power supply 40 via the power line 50. The power line 50 is sandwiched between the clamp ammeter 60. The state analysis system 1 is equipped with three clamp galvanometers 60, and each clamp ampere 60 is sandwiched by a different power line. However, in other embodiments, the state analysis system 1 includes one or two clamp galvanometers 60, or a part of the three power lines 50 that does not measure a part of the current. The clamp ammeter 60 measures the magnitude of the current flowing through the power line 50 and forms a digital signal (current signal) and outputs it to the state analysis device 10. The state analysis device 10 displays information indicating the state of the target device 30 on the display device 20 based on the current signal received by the clamp ammeter 60.

FIG. 2 is a schematic block diagram showing the configuration of the state analyzer of the first embodiment. The state analysis device 10 includes a current acquisition unit 11, a parameter calculation unit 12, a parameter storage unit 13, a threshold storage unit 14, a graph generation unit 15, a migration detection unit 16, and a display control unit 17.

The current acquisition unit 11 acquires the current signal flowing from the clamp ammeter 60 to the target device 30 through the power line 50.

The parameter calculation unit 12 calculates the value of a complex parameter that varies according to the state of the target device 30 based on the current signal acquired by the current acquisition unit 11 at a timing related to a certain period. Hereinafter, the parameter calculated by the parameter calculation unit 12 is referred to as a current parameter. The specific examples of current parameters will be described later. At least two of the complex current parameters calculated by the parameter calculation unit 12 are parameters having a correlation relationship with each other.

The parameter storage unit 13 stores the value of the current parameter calculated by the parameter calculation unit 12 in association with the calculation time.

The threshold value memory unit 14 stores the threshold value that becomes the criterion for determining the state of the target device 30 for each current parameter. The categories of states of the target device 30 in the first embodiment are: the target device 30 is in a normal normal state; the target device 30 is in an abnormal abnormal state; and the state in which the state of the target device 30 may transition to an abnormal state, that is, a caution state. That is, the threshold value memory unit 14 memorizes the first threshold value that distinguishes the normal state from the attention state and the second threshold value that distinguishes the attention state from the abnormal state for each current parameter.

The graph generation unit 15 generates a graph image showing the value of the current parameter calculated by the parameter calculation unit 12 and the amount of change in the value of the current parameter changed from the value of the previous current parameter to the value of the current parameter. The graph image is a graph of two current parameters that have a correlation between the vertical axis and the horizontal axis. In the graph image system, a division line indicating the threshold value of each current parameter, a plot indicating the values of the two current parameters (first graph), and an arrow indicating the amount of change (second graph) are arranged.

The migration detection unit 16 detects a situation where the value of each current parameter crosses the threshold value memorized by the threshold value memory unit 14 and changes.

The display control unit 17 generates display information output to the display device 20 based on the graph screen generated by the graph generation unit and the detection result obtained by the migration detection unit 16. The display control unit 17 is an example of a display information generating unit.

Here, the current parameter calculated by the parameter calculation unit 12 of the first embodiment will be described. The parameter calculation unit 12 of the first embodiment calculates KI parameters, Lpole parameters, Lshaft parameters, Irms parameters, THD parameters, IHD parameters, Lx parameters, and Iub parameters.

The KI parameter is a parameter indicating the overall state of the target device 30. The KI parameter is the Kulbeck-value of the reference amplitude probability density variable fr(x) for the inspection amplitude probability density off ft(x) obtained from the current signal and the reference amplitude probability density variable fr(x) representing the reference sine wave signal waveform of the motor The amount of information on Kullback-Leibler. Specifically, the KI parameter is obtained by the following formula (1).

[Formula 1]

The Lpole parameter is a parameter indicating the state of the rotor of the target device 30. The Lpole parameter is the magnitude of the peak value of the sideband wave of the current spectrum in a frequency position separated by a predetermined frequency portion among the frequency spectrum obtained by converting the current signal into a frequency range. The sideband wave related to the Lpole parameter is a sideband wave that varies depending on the passing frequency of the pole of the motor.

The Lshaft parameter is a parameter indicating the state of misalignment of the rotor and auxiliary machinery of the target device 30. The Lshaft parameter is obtained from the frequency spectrum obtained by converting the current signal into a frequency range, centered on the peak of the current spectrum, and obtained by the magnitude of the peak value of the sideband wave of the current spectrum in the frequency position separated by a predetermined frequency . The sideband wave related to the Lshaft parameter is a sideband wave that varies depending on the actual rotation frequency of the motor.

The Irms parameter is a parameter for monitoring the rotating machine load and state change of the target device 30. The Irms parameter is the current effective value obtained by dividing the square root of the current value in each sampling timing by the number of sampling timings.

The IHD parameter is the ratio of the maximum harmonic component of the current signal to the frequency component of the power supply. The IHD parameter is obtained by extracting the high-harmonic component from the current signal, and dividing the maximum value within the preset number of times of the high-harmonic component by the effective value of the power frequency.　　THD parameter is the ratio of the full harmonic component of the current signal to the power frequency component. The THD parameter can be obtained by extracting high harmonic components from the current signal, and dividing the square root of the sum of squares of each high harmonic component within a preset number by the effective value of the power frequency of the current signal. Both the IHD parameter and the THD parameter are parameters indicating the quality of the three-phase AC power supply 40.

The Lx parameter is a parameter indicating the state of the auxiliary device of the target device 30. The Lx parameter is the magnitude of the peak value of the sideband wave of the current spectrum in a frequency position separated by a predetermined frequency portion in the frequency spectrum obtained by converting the current signal into a frequency range. The sideband wave related to the Lx parameter is a sideband wave that varies depending on the passing frequency of the blades of the pump or blower, a sideband wave that varies depending on the bite frequency of the gear device, and a frequency that varies depending on the rotation frequency of the transmission belt Of sideband waves, or sideband waves that vary due to sideband waves that vary due to the slip frequency of the rotor bar.　　 The Lx parameter indicated by the magnitude of the peak value of the sideband wave fluctuating due to the passage frequency of the blade of the pump or blower is called the Lbp parameter. The Lx parameter indicated by the magnitude of the peak value of the sideband wave that varies depending on the bite frequency of the gear device is called the Lgz parameter. The Lx parameter indicated by the magnitude of the peak value of the sideband wave that varies depending on the rotation frequency of the transmission belt is called the Lbr parameter. And the Lx parameter shown by the magnitude of the peak value of the sideband wave fluctuating due to any one of the sideband waves fluctuating due to the slip frequency of the rotor bar is called the Lrs parameter. An example of an auxiliary machine of the pump, blower, gear device, transmission belt, and rotor bar system object device 30.

The Iub parameter is a parameter indicating the power supply quality or the deterioration state of the motor stator and converter. The Iub parameter can be obtained by dividing the difference between the maximum value and the minimum value among the current effective values of the three-phase current signal by the sum of the maximum value and the minimum value. That is, the Iub parameter is a parameter indicating the three-phase current balance of the current signal.

The KI parameter is increased if the state of the rotor deteriorates, and the Lpole parameter is decreased if the state of the rotor deteriorates. That is, the KI parameter and the Lpole parameter are related to the state of the rotor of the target device 30. The KI parameter is increased if the unbalanced state of the shaft system of the motor deteriorates, that is, the Lshaft parameter and various Lx parameters are decreased when the unbalanced state of the motor shaft system is deteriorated. That is, the KI parameter, the Lshaft parameter, and various Lx parameters are related to the unbalanced state of the shaft system of the motor of the target device 30. In addition, the KI parameter is increased if the misalignment state of the motor shaft system is deteriorated, that is, the Lshaft parameter is decreased when the misalignment state of the motor shaft system is deteriorated. That is, the KI parameter and the Lshaft parameter are related to the state of misalignment of the shaft system of the motor of the target device 30.　　 KI parameter and Irms parameter are increased if the state of load fluctuations deteriorates. In other words, the KI parameter and the Irms parameter are related to the state of the load fluctuation of the target device 30.　　 KI parameters and THD parameters and IHD parameters and Iub parameters are increased if the state of the motor stator or the power supply quality is deteriorated. That is, the KI parameter, THD parameter, IHD parameter, and Iub parameter are related to the state or power quality of the stator of the target device 30.　　Lpole parameter and Lshaft parameter are reduced if the state of the motor is deteriorated. That is, the Lpole parameter and the Lshaft parameter are related to the state of the rotor of the target device 30.

FIG. 3 is a diagram showing an example of information stored in the parameter storage unit of the first embodiment. As shown in FIG. 3, the parameter memory unit 13 measures the measurement time, the KI parameter, the Lpole parameter, the Lshaft parameter, the Irms parameter, and the THD for each time period related to a certain period (for example, every half day or one day), that is, the measurement time. The parameters, IHD parameters, Lx parameters, and Iub parameters are related to memory.

FIG. 4 is a diagram showing an example of information stored in the threshold storage unit of the first embodiment. As shown in FIG. 4, the threshold memory unit 14 memorizes the range of values in the normal state for each of the KI parameter, Lpole parameter, Lshaft parameter, Irms parameter, THD parameter, IHD parameter, Lx parameter, and Iub parameter, The range of values in the attention state and the range of values in the abnormal state. Here, the threshold between the range of the value in the normal state and the range of the value in the attention state is the first threshold, and the range of the value in the attention state and the range of the value in the abnormal state are The threshold of the segmentation is the second threshold. That is, the range of the value in the normal state, the range of the value in the attention state, and the range of the value in the abnormal state are equivalent to the memory of the first threshold and the second threshold.

In the first embodiment, the range of the value of each current parameter in the normal state, the range of the value in the attention state, and the range of the value in the abnormal state are as follows. However, the ranges shown below are only examples, and other embodiments are not limited thereto.

The range of the value of the KI parameter in the normal state is less than 1.0. The value range of the KI parameter in the attention state is 1.0 or more and less than 1.5. The range of the value of the KI parameter in the abnormal state is 1.5 or more. That is, the first threshold value for the KI parameter is 1.0, and the second threshold value for the KI parameter is 1.5.

The value range of the Lpole parameter in the normal state exceeds 50 dB. The range of the value of the Lpole parameter in the attention state exceeds 40 dB to 50 dB or less. The range of the value of the Lpole parameter in the abnormal state is 40 dB or less. That is, the first threshold value related to the Lpole parameter is 50 dB, and the second threshold value related to the Lpole parameter is 40 dB.

The range of the value of the Lshaft parameter in the normal state exceeds 50 dB. The range of the value of the Lshaft parameter in the attention state exceeds 40 dB and 50 dB or less. The range of the value of the Lshaft parameter in the abnormal state is 40 dB or less. That is, the first threshold value related to the Lshaft parameter is 50 dB, and the second threshold value related to the Lshaft parameter is 40 dB.

The range of the Irms parameter in the normal state does not vary by ±10%. The range of the value of the Irms parameter in the attention state varies by ±10% or more and does not reach ±20%. The range of the Irms parameter in the abnormal state varies by more than ±20%. That is, the first threshold related to Irms parameters varies by ±10%, and the second threshold related to Irms parameters varies by ±20%.

The range of the value of the THD parameter in the normal state is less than 5%. The value range of the THD parameter in the attention state is 5% or more and less than 10%. The range of the value of the THD parameter in the abnormal state is 10% or more. That is, the first threshold for THD parameters is 5%, and the second threshold for THD parameters is 10%.

The range of the value of the IHD parameter in the normal state is less than 3%. The range of the value of the IHD parameter in the attention state is 3% or more and less than 5%. The range of the value of the IHD parameter in the abnormal state is 5% or more. That is, the first threshold for IHD parameters is 3%, and the second threshold for IHD parameters is 5%.

The range of the value of the Lx parameter in the normal state exceeds 50 dB. The range of the value of the Lx parameter in the attention state exceeds 40 dB to 50 dB or less. The range of the value of the Lx parameter in the abnormal state is 40 dB or less. That is, the first threshold value related to the Lx parameter is 50 dB, and the second threshold value related to the Lx parameter is 40 dB.

The range of the value of the Iub parameter in the normal state is less than 3%. The range of the value of the Iub parameter in the attention state is 3% or more and less than 5%. The range of the value of the Iub parameter in the abnormal state is 5% or more. That is, the first threshold value related to the Iub parameter is 3%, and the second threshold value related to the Iub parameter is 5%.

Here, the operation of the state analysis device 10 of the first embodiment will be described. FIG. 5 is a flowchart showing the current parameter calculation process by the state analysis device of the first embodiment. The state analysis device 10 executes the current parameter calculation process at every timing of a certain period. The current acquisition unit 11 of the state analysis device 10 acquires the current signal from the clamp ammeter 60 (step S1). The current acquisition unit 11 acquires the current signal at each sampling timing. Therefore, the current signal acquired by the current acquisition unit 11 represents a change in the magnitude of the current in a certain period. Next, the parameter calculation unit 12 converts the frequency range of the current signal and generates a frequency range waveform (step S2). In terms of frequency range conversion techniques, FFT is listed. The parameter calculation unit 12 calculates the current parameter based on the current signal acquired in step S1 and the frequency range waveform generated in step S2 (step S3). The parameter calculation unit 12 correlates the calculated current parameter with the current time and records it in the parameter storage unit 13 (step S4). The state analysis device 10 executes the above-mentioned current parameter calculation process at every timing of a certain period, whereby the time series of the current parameter can be recorded in the parameter storage unit 13.

6 is a flowchart showing the current parameter display processing by the state analysis device of the first embodiment. The state analysis device 10 accepts the input of the set of current parameters of the display target when the user displays the current parameter by the user's operation (step S11). The input of the group of current parameters is obtained from the parameter pairs that are related to each other in advance and set in the state analysis device 10 (for example, the pair of the Lshaft parameter and the Lpole parameter, the pair of the THD parameter and the IHD parameter, the KI parameter and the Lx In the list of parameter pairs, etc., the acceptance is performed by the user's choice. In other embodiments, the input of the set of current parameters can also be performed by using any two parameters input by the user.

Next, the graph generation unit 15 of the state analysis device 10 draws a coordinate space with the selected pair of current parameters as the axis G1 (step S12). That is, the graph generating unit 15 plots the orthogonal axis G1 indicating the current parameters forming the pair. In the present embodiment, "drawing" means arranging graphics on a virtual space (virtual plane). Next, the graph generation unit 15 reads out the first threshold value and the second threshold value associated with each pair of current parameters selected by the threshold value memory unit 14, and depicts the first threshold value G2 (first division line) and G2 (second division line) indicating the second threshold value (step S13). The division line G2 indicating the threshold value related to a current parameter is a line parallel to the axis G1 indicating the current parameter. Next, the graph generation unit 15 draws a plot G3 representing the value of each pair of current parameters selected by the parameter storage unit 13 and being the last recorded person (the changed value) on the coordinate space (step S14).

Next, the graph generating unit 15 draws on the coordinate space: the coordinates indicating the value of each pair of current parameters selected by the parameter memory unit 13 and being the penultimate recordee (value before change) , An arrow G4 extending toward the coordinate indicating the changed value (step S15). At this time, the difference between the measurement time related to the value before the change and the measurement time related to the value after the change is equal to the time for a certain period. In addition, the greater the difference between the value before the arrow G4 and the value after the change, the longer it is. That is, the greater the variation of the current parameters of the arrow G4 series, the longer it will be.

Next, the migration detection unit 16 determines whether at least one value of the selected pair of current parameters exceeds the first threshold value according to the first threshold value and the second threshold value stored in the threshold value memory unit 14 The first threshold or the second threshold changes (step S16). If the value of the current parameter changes across the first threshold or the second threshold (step S16: YES), the graph generation unit 15 draws a predetermined message (for example, "the state of the target device 30 has changed to the attention state", etc. ) (Step S17). The message is continuously displayed until the predetermined time elapses when the current parameter value crosses the threshold. However, in other embodiments, a predetermined message may be drawn only when the value of the current parameter crosses the first threshold or the second threshold and changes in the direction of deterioration of the state. In addition, in other embodiments, the display form of the plot G3 may be different, instead of drawing the predetermined message. Taking the display form of plotting G3 as an example, the color of plotting G3, the size of plotting G3, and the presence or absence of plotting G3 are listed. If the value of the current parameter does not exceed the first threshold and the second threshold (step S16: NO), the graph generating unit 15 does not draw the predetermined message.

Next, the display control unit 17 generates display information based on the graph drawn by the graph generation unit 15 and outputs the display information to the display device 20 (step S18). Thereby, the display device 20 displays the division line G2 indicating the threshold value of the current parameter, the plot G3 indicating the value of the pair of current parameters, and the amount of change indicating the value of the current parameter calculated at different timings Of the arrow G4.

7 is a diagram showing an example of a graph showing the relationship between KI parameters and Lpole parameters.　　If the user selects a pair of the KI parameter and the Lpole parameter in step S11, the graph shown in FIG. 7 is displayed on the display device 20. With the graph shown in FIG. 7, the state of the target device 30 can be determined based on the KI parameter and the Lpole parameter. The KI parameter and the Lpole parameter are related to the state of the rotor of the target device 30. Therefore, the user can easily confirm the state of the rotor of the target device 30 using the graph shown in FIG. 7. Specifically, the KI parameter is increased if the state of the rotor is deteriorated, and the Lpole parameter is decreased when the state of the rotor is deteriorated. That is, if the state of the rotor deteriorates, the position of the plotted G3 usually moves toward the lower right direction. On the other hand, if the moving direction of the plotted G3 is not the lower right direction, it can be judged that a phenomenon different from the deterioration of the normal rotor occurs. If the user selects the pair of the KI parameter and the Lshaft parameter, in the case where the user selects the pair of the KI parameter and the Lx parameter, a graph similar to FIG. 7 is also displayed on the display device 20.

8 is a diagram showing an example of a graph showing the relationship between IHD parameters and THD parameters.　　If the user selects the pair of the IHD parameter and the THD parameter in step S11, the graph shown in FIG. 8 is displayed on the display device 20. With the graph shown in FIG. 8, the state of the target device 30 can be determined based on the IHD parameter and the THD parameter. The IHD parameter and the THD parameter are related to the state or power quality of the motor stator of the target device 30. Therefore, the user can easily confirm the state of the stator of the motor of the target device 30 or the power supply quality by the graph shown in FIG. 8. Specifically, the IHD parameter and the THD parameter increase if the state of the motor stator or the power supply quality deteriorates. That is, if the state of the stator of the motor or the quality of the power supply deteriorates, the position of the plotted G3 is usually moved to the upper right direction. On the other hand, if the moving direction of the plot G3 is not the upper right direction, it can be judged that a phenomenon different from the deterioration of the state of the stator of the motor or the deterioration of the power supply quality occurs.

9 is a diagram showing an example of a graph showing the relationship between the Lpole parameter and the Lshaft parameter.　　If the user selects the pair of the Lpole parameter and the Lshaft parameter in step S11, the graph shown in FIG. 9 is displayed on the display device 20. With the graph shown in FIG. 9, the state of the target device 30 can be determined based on the Lpole parameter and Lshaft. The Lpole parameter and the Lshaft parameter are related to the state of the rotor of the target device 30 and have a correlation. Therefore, the user can easily confirm the state of the rotor of the target device 30 using the graph shown in FIG. 9. Specifically, the Lpole parameter and Lshaft parameter decrease if the state of the motor deteriorates. Here, the Lpole parameter and the Lshaft parameter are parameters that vary according to the deterioration of different parts of the motor. Therefore, the user can estimate the location of the abnormality in the motor by observing the tilt of the movement direction of the plotted G3.

Among them, if you want to confirm the state of the target device 30 shown by each current parameter, if the user confirms the paired graph about the KI parameter and the Lpole parameter, the paired graph about the KI parameter and the Lshaft parameter, and the KI parameter and Lx The paired graphs of parameters and the paired graphs of IHD parameters and THD parameters are sufficient. Alternatively, the user may confirm the paired graph related to the Lpole parameter and Lshaft parameter, the paired graph related to the KI parameter and Lx parameter, and the paired graph related to the IHD parameter and THD parameter.

As described above, according to the first embodiment, the state analysis device 10 generates a coordinate space around each of the complex current parameters having a correlation with each other, and is provided with: a division line G2 indicating the threshold value and indicating the current parameter The display information of the plot G3 of the value and the arrow G4 indicating the amount of change in the value of the current parameter. This allows the user to recognize how the state of the target device 30 has changed even if he is not skilled in reading the frequency range chart. In addition, as described above, according to the first embodiment, the user can recognize a state other than the state associated with the individual current parameter. In other embodiments, a graph other than G3 may be plotted to represent the value of the current parameter. For example, the arrow G4 in the first embodiment shows a graph of the amount of change in the current parameter. However, the arrow shows the value of the current parameter in a time series. Therefore, the arrow G4 can also be said to be a graph showing the value of the current parameter. In addition, in other embodiments, the amount of change in the current parameter may be represented by a graph other than the arrow G4. For example, the magnitude of the change in the current parameter can also be displayed graphically, or it can be represented by plotting the color of G3.

In addition, according to the first embodiment, the state analysis device 10 generates display information including a predetermined message if at least one value of the complex parameter at different timings crosses the threshold. In this way, the user can quickly recognize that the state of the target device 30 has changed. In other embodiments, the state analysis device 10 may make the display form of the plot G3 different when at least one value of the complex parameter at different timings crosses the threshold and when it does not cross the threshold. As a result, the user can quickly recognize that the state of the target device 30 has changed as in the first embodiment.

The above describes an embodiment in detail with reference to the drawings, but the specific configuration is not limited to the above, and various design changes and the like can be made.　　 For example, the state analysis device 10 of the above embodiment displays a pair of graphs related to current parameters on the display device 20, but it is not limited thereto. For example, the state analysis device 10 of another embodiment may display a high-dimensional graph of groups of three or more current parameters on the display device 20. In addition, the state analysis device 10 of the above-described embodiment generates a coordinate space around each of the complex current parameters having a correlation with each other, and a division line G2 indicating the threshold value and a standard indicating the value of the current parameter are arranged. Draw G3 display information, but not limited to this. For example, the state analysis device 10 of other embodiments may also generate display information indicating the value of a current parameter at a time and its variation. Even in the embodiment shown above, the user can recognize how the state of the target device 30 changes.

In addition, the state analysis device 10 of the above embodiment performs display control by outputting display information to the display device 20 directly connected to itself, but it is not limited to this. For example, the state analysis device 10 of other embodiments may record display information on a storage medium without performing display control, or transmit display information to other display devices 20 connected via a network.

In addition, the target device 30 of the above-mentioned embodiment is a rotating machine system in which the motor and the auxiliary machine rotate coaxially, but it is not limited to this. For example, the target device 30 in other embodiments may be a motor and an auxiliary machine connected by a mechanical system such as a gear device.

In addition, the state analysis device 10 of the above-mentioned embodiment classifies the state of the target device 30 into three divisions: normal state, abnormal state, and caution state, but it is not limited to this. For example, the state analysis device 10 of other embodiments may be classified into two divisions such as a normal state and an abnormal state, or may be classified into four or more divisions.

FIG. 10 is a schematic block diagram showing the configuration of a computer of at least one embodiment.　　 Computer 90 is equipped with: CPU91, main memory device 92, auxiliary memory device 93, interface 94.　　 The above-mentioned state analysis device 10 is built in the computer 90. Next, the operation of each processing unit described above is stored in the auxiliary memory device 93 in the form of a program. The CPU 91 reads the program from the auxiliary memory device 93 and develops it in the main memory device 92, and executes the above-mentioned processing according to the program. In addition, the CPU 91 secures the memory area corresponding to the above-mentioned memory sections in the main memory device 92 according to the program.

Taking the auxiliary memory device 93 as an example, the series includes: HDD (Hard Disk Drive), SSD (Solid State Drive), magnetic disk, optical disk, CD-ROM (Compact Disc Read Only Memory, CD-ROM (Digital Versatile Disc Read Only Memory), semiconductor memory, etc. The auxiliary memory device 93 may also be an internal medium directly connected to the bus of the computer 90, or an external medium connected to the computer 90 through the interface 94 or a communication line. In addition, when the program is dispatched to the computer 90 via the communication line, the computer 90 that can also receive the dispatch deploys the program in the main memory device 92 to perform the above-mentioned processing. In at least one embodiment, the auxiliary memory device 93 is a non-transitory tangible memory medium.

In addition, the program can also be used to realize the aforementioned functions. In addition, the program may be a so-called differential file (differential program) that realizes the aforementioned function in combination with other programs that have been stored in the auxiliary memory device 93. [Industry availability]

The state analysis device, display method, and program of the present case can easily identify the state and change of the state of the target device.

1‧‧‧ State analysis system 10‧‧‧ State analysis device 11‧‧‧ current acquisition unit 12‧‧‧parameter calculation unit 13‧‧‧parameter memory unit 14‧‧‧threshold limit memory unit 15‧‧‧Graph generation Part 16‧‧‧ Migration detection part 17‧‧‧ Display control part 20‧‧‧ Display device 30‧‧‧Object device 40‧‧‧ Three-phase AC power supply 50‧‧‧Power line 60‧‧‧Clamp ammeter 90 ‧‧‧Computer 91‧‧‧CPU92‧‧‧Main memory device 93‧‧‧Auxiliary memory device 94‧‧‧‧Interface G1‧‧‧Axis G2‧‧‧Division line G3‧‧‧Drawing G4‧‧‧Arrow

FIG. 1 is a schematic diagram showing the configuration of a state analysis system according to the first embodiment. FIG. 2 is a schematic block diagram showing the configuration of the state analyzer of the first embodiment. FIG. 3 is a diagram showing an example of information stored in the parameter storage unit of the first embodiment. FIG. 4 is a diagram showing an example of information stored in the threshold storage unit of the first embodiment. FIG. 5 is a flowchart showing the current parameter calculation process by the state analysis device of the first embodiment. FIG. 6 is a flowchart showing the current parameter display processing by the state analysis device of the first embodiment. FIG. 7 is a diagram showing an example of a graph showing the relationship between KI parameters and Lpole parameters. FIG. 8 is a diagram showing an example of a graph showing the relationship between IHD parameters and THD parameters. FIG. 9 is a diagram showing an example of a graph showing the relationship between the Lpole parameter and the Lshaft parameter. FIG. 10 is a schematic block diagram showing the configuration of a computer of at least one embodiment.

G1‧‧‧axis

G2‧‧‧Division Line

G3‧‧‧Plotting

G4‧‧‧Arrow

Claims (11)

A state analysis device includes: a current acquisition unit that acquires a current signal flowing to a target device; a parameter calculation unit that calculates the state of the target device based on the current signal at a timing related to a certain period The value of a complex parameter that varies and has a correlation with each other; and a display information generating unit that generates display information in a coordinate space with each of the complex parameter as an axis, and the display information is configured to indicate the state of the target device The division line of the predetermined threshold value of the judgment criterion of; the first graph showing the value of the complex parameter of a time series; and the second graph showing the change amount of the value of the complex parameter calculated at different times. For example, in the state analysis device of claim 1, the display information generating unit generates the display information including a predetermined message if at least one value of the complex parameter at different timings crosses the threshold value. For example, in the state analysis device according to item 1 of the patent application scope, the display information generating unit causes the at least one value of the complex parameter with different timings to cross the threshold and not to cross the threshold. The display form of the aforementioned first pattern is different. As in the state analysis device of claim 2 of the patent application scope, the display information generating unit causes the at least one value of the complex parameter with different timing to cross the threshold and not to cross the threshold. The display form of the aforementioned first pattern is different. For example, in the state analysis device of claim 1, the state of the object device includes: the object device is in a normal normal state, the object device is in an abnormal abnormal state, and the state of the object device may transition to an abnormal state The state of the state is the attention state, and the display information generation unit generates a first division line that includes the normal state and the attention state, and a second division line that distinguishes the attention state and the abnormal state as the division line Of the aforementioned display information. A state analysis device as described in item 2 of the patent application scope, wherein the state of the object device includes: the object device is in a normal normal state, the object device is in an abnormal abnormal state, and the state of the object device may transition to an abnormal state The state of the state is the attention state. The display information generation unit generates a first division line that includes the normal state and the attention state, and a second division line that distinguishes the attention state and the abnormal state as the division line Of the aforementioned display information. For example, the status analysis device of the third item of the patent application scope, in which the aforementioned The state of the object device includes: the object device is in a normal normal state, the object device is in an abnormal abnormal state, and the state in which the state of the object device may transition to an abnormal state, that is, an attention state, the display information generation unit generates It includes: a first division line that distinguishes the normal state from the attention state, and a second division line that distinguishes the attention state from the abnormal state, as the display information of the division line. For example, in the state analysis device of claim 4, the state of the object device includes: the object device is in a normal normal state, the object device is in an abnormal abnormal state, and the state of the object device may transition to an abnormal state The state of the state is the attention state. The display information generation unit generates a first division line that includes the normal state and the attention state, and a second division line that distinguishes the attention state and the abnormal state as the division line Of the aforementioned display information. A state analysis device according to any one of claims 1 to 8, wherein the target device is a device having a motor that rotates around a rotor and an auxiliary machine that rotates together with the rotor, and the complex parameter is selected Parameters that freely represent the overall state of the target device, parameters that represent the state of the rotor, parameters that represent the misalignment state of the rotor and the auxiliary machine, parameters that represent the actual value of the current flowing to the motor, and parameters that represent the current Power quality parameters and representation The aforementioned parameters of the state of the auxiliary machine are grouped into plural parameters. A display method includes: obtaining a current signal flowing to a target device; calculating a value of a complex parameter that varies according to the state of the target device and has a correlation with each other based on the current signal at a timing related to a certain period; The amount of change in the value of the complex parameter calculated at different timings; and in the coordinate space around each of the complex parameter as an axis, display information is displayed, and the display information is arranged to indicate the presence of a criterion for determining the state of the target device The dividing line of the limit value; the first graph showing the value of the complex parameter of a time series; and the second graph showing the amount of change. A computer program product, which is used to make a computer perform the following: obtain a current signal flowing to an object device; calculate a complex number that varies according to the state of the object device and has a correlation with each other according to the timing of a certain period according to the current signal The value of the parameter; calculating the amount of change in the value of the complex parameter calculated at different timings; and generating the display information in the coordinate space around each of the complex parameter as the axis, the display information is configured to indicate: The distinction line of the threshold value of the judgment criterion of the state; The first graph of the value of the numerical parameter; and the second graph showing the aforementioned variation.

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