TW201840990A - State analyzer, displaying method thereof, and program 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 program

The present invention relates to a state analysis device, a display method, and a program.案 This case claims priority from Japanese Patent Application No. 2017-019899 filed in Japan on February 6, 2017, and its content is hereby used.

In equipment such as a power plant, in order to monitor the operation state of the device, a current clamp is clamped at a predetermined portion 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 inspector observes the displayed frequency range graph to detect and identify the abnormality of the device. Specifically, the examiner specifies a parameter indicating a 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 Art Literature] [Patent Literature]

[Patent Document 1] Japanese Patent No. 5828948

(Problems to be solved by the invention)

However, reading a frequency range chart requires proficiency, and it is difficult for a non-skilled person 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 has changed from the past state. Therefore, it is difficult to predict the state change of the device only by observing the frequency range graph. In addition, the parameters specified by the frequency range graph can be used to specify the state of the action associated with the parameter, but it is difficult to specify the state that is not associated with an individual parameter.目的 An object of the present invention is to provide a state analysis device, a display method, and a program that can easily recognize a state of a target device and a change in the state. (Means for solving problems)

According to the first aspect of the present invention, the state analysis device is provided with a current acquisition unit that acquires a current signal flowing to the target device, and a parameter calculation unit that calculates the current signal based on the timing of a certain period. And a display information generating unit that generates display information in a coordinate space with each of the foregoing plurality of parameters as an axis according to a state of the aforementioned target device that changes and has a correlation with each other, and the display information is configured with: A preliminarily set threshold line that serves as a reference for determining the state of the target device; a first graph showing the value of the complex parameter at a time sequence; and a change in the value of the complex parameter calculated at different time sequences The second figure of the amount.

With the second aspect of the present invention, the state analysis device of the first aspect can also generate a predetermined message containing the predetermined information for the display information generating unit if at least one value of the plurality of parameters related to different timings crosses the threshold. The aforementioned display information.

With the third aspect of the present invention, the state analysis device of the first aspect can also provide the display information generating unit with the above-mentioned threshold when the at least one value of the plurality of parameters related to different timings crosses the threshold, and does not exceed the threshold. In the case of a threshold value, the display form of the first graph is different.

According to the fourth aspect of the present invention, in the state analysis device of any of the first to third aspects, the state of the target device may include: the target device is in a normal state, and the target device is The abnormal state and the state of the target device may transition to the abnormal state, that is, the attention state. The display information generating unit generates a first division line that distinguishes the normal state from the attention state, and the attention. The second division line between the state and the abnormal state serves as the display information of the division line.

According to the fifth aspect of the present invention, in the state analysis device of any of the first to fourth aspects, the target device may include a motor that rotates around a rotor and an auxiliary machine that rotates together with the rotor. Device, the plurality of parameters are selected from a parameter indicating a comprehensive state of the target device, a parameter indicating a state of the rotor, a parameter indicating a misalignment state of the rotor and the auxiliary machine, and an effective value of a current flowing to the motor. A plurality of parameters are grouped by a parameter, a parameter indicating a power quality related to the current, and a parameter indicating a 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; and calculating a complex number that has a correlation with the state of the target device according to the state of the target device based on the current signal at a certain period of time. The value of the parameter; calculating the amount of change in the value of the complex parameter calculated at different timings; and displaying display information in the coordinate space around each of the complex parameter as an axis, the display information being configured with: A distinguishing line of a threshold value for judging a state; a first graph showing the value of the aforementioned plural parameters related to a time series; and a second graph showing the aforementioned amount of change.

With the seventh aspect of the present invention, the program is used to make the computer execute the following: obtain the current signal flowing to the target device; and calculate the state change according to the target device based on the current signal based on the timing of a certain period and have each other Correlation of the value of the complex parameter; calculating the amount of change in the value of the complex parameter calculated at different timings; and generating display information in the coordinate space with each of the complex parameters as an axis, the display information is configured with: A division line of a threshold value of a judgment criterion of the state of the target device; a first graph showing the value of the plurality of parameters related to a time series; and a second graph showing the amount of change. (Effect of the invention)

With at least one of the above aspects, the state analysis device calculates a parameter from the current signal, and generates display information that causes the parameter to be displayed along with a distinguishing line indicating a threshold value. Thereby, based on the displayed information, the state of the target device can be specified even if no skill is required. In addition, the state analysis device generates display information that causes a graphic display showing a change amount of a parameter. Thereby, the state transition of the target device can be identified based on the displayed information. In addition, the state analysis device arranges a graph showing the parameters in a coordinate space with each of a plurality of parameters having a correlation relationship as an axis. Thereby, by observing the deviation of the parameter or the change amount of the parameter, it is possible to specify the state in which the individual parameter is not related.

The first embodiment will be described in detail below with reference to the drawings. FIG. 1 is a schematic diagram showing a configuration of a state analysis system according to the first embodiment.状态 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 source 40, a power line 50, and a clamp ammeter 60.状态 The state analysis device 10 according to the first embodiment displays information on the display device 20 indicating the state of the target device 30 that is an inspection target. The target device 30 according to the first embodiment includes a rotary mechanical system including a motor driven by a three-phase AC power source, and auxiliary equipment such as a pump or a fan that rotates together with a rotor included in the motor. The target device 30 is connected to the three-phase AC power source 40 through the power line 50. The power line 50 is sandwiched between clamped ammeters 60. The state analysis system 1 is provided with three clamp ammeters 60, and each clamp ammeter 60 is sandwiched by a different power line. However, in another embodiment, the state analysis system 1 includes one or two clamped ammeters 60, and may be one in which no current is measured among the three power lines 50. 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 a configuration of a state analysis device according to 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 value storage unit 14, a chart generation unit 15, a transition detection unit 16, and a display control unit 17.

The current acquisition unit 11 acquires a 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 plurality of parameters that varies depending on the state of the target device 30 based on the current signal acquired by the current acquisition unit 11 at a time sequence related to a certain period. Hereinafter, the parameter calculated by the parameter calculation unit 12 is referred to as a current parameter. Examples of specific current parameters will be described later. At least two of the complex current parameters calculated by the parameter calculation unit 12 are parameters that have a correlation with each other.

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

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

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 from the previous value of the current parameter. The graph image is a graph in which two current parameters are correlated with each other on 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 (first graph) indicating the values of the two current parameters, and an arrow (second graph) indicating the amount of change are arranged.

The migration detection unit 16 detects a situation where the value of each current parameter changes across the threshold value stored in the threshold memory unit 14.

The display control unit 17 generates display information to be output to the display device 20 based on the chart screen generated by the chart 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, a current parameter calculated by the parameter calculation unit 12 of the first embodiment will be described.参数 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 a Kulbeck-based on the amplitude probability density threshold ft (x) at the time of inspection obtained from the current signal, and the reference amplitude probability density variable fr (x) of the reference sine wave signal waveform representing the rated current of the motor. Kullback-Leibler information. Specifically, the KI parameter is obtained by the following formula (1).

[Equation 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 with a peak of the current spectrum as a center in a frequency spectrum obtained by performing a frequency range conversion of the current signal. The sideband wave related to the Lpole parameter is a sideband wave that varies depending on the frequency of the pole of the motor.

The Lshaft parameter is a parameter indicating the state of misalignment of the rotor and the auxiliary equipment of the target device 30. The Lshaft parameter is obtained from the frequency spectrum obtained by frequency range conversion of the current signal. The peak value of the current spectrum is centered on the peak value of the current spectrum at a 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 load and state change of the rotating machine of the target device 30. The Irms parameter is a current effective value obtained by dividing the sum of the squares of the current values in each sampling timing by the number of sampling timings to obtain the square root.

The IHD parameter is the ratio of the maximum harmonic component of the current signal to the power frequency component. The IHD parameter is obtained by extracting high harmonic components from the current signal, and dividing the maximum value of the high harmonic components within a preset number of times by the actual 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 is obtained by extracting the high harmonic components from the current signal, and dividing the square root of the sum of the squares of the high harmonic components within a preset number of times by the actual 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 machine of the target device 30. The Lx parameter is the magnitude of the peak value of the sideband wave of the current spectrum at the frequency position separated by a predetermined frequency portion in the frequency spectrum obtained by frequency range conversion of the current signal. The sideband wave related to the Lx parameter is a sideband wave that fluctuates due to the passing frequency of the blades of the pump or blower, a sideband wave that fluctuates due to the meshing frequency of the gear device, and fluctuates due to the rotation frequency of the transmission belt. Sideband waves, or sideband waves that are caused by sideband waves that change due to the slip frequency of the rotor guide bar. LThe Lx parameter shown as the magnitude of the peak value of the sideband wave that varies with the frequency of the blades of the pump or blower is called the Lbp parameter. The Lx parameter shown by the magnitude of the peak value of the sideband wave that varies depending on the gear's meshing frequency is called the Lgz parameter. The Lx parameter shown by the magnitude of the peak value of the sideband wave that changes due to the rotation frequency of the transmission belt is called the Lbr parameter. The Lx parameter shown by the magnitude of the peak value of the sideband wave that fluctuates due to any one of the sideband waves that fluctuates due to the slip frequency of the rotor guide bar is called the Lrs parameter. An example of an auxiliary machine of a pump, a blower, a gear device, a transmission belt, and a rotor guide system 30 is an object device.

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

The KI parameter is increased if the state of the rotor is deteriorated, and the Lpole parameter is decreased if the state of the rotor is deteriorated. That is, the KI parameter and the Lpole parameter have a correlation with respect to the state of the rotor of the target device 30. KI parameter system is increased if the imbalanced state of the shaft system of the motor is deteriorated, and the Lshaft parameter and various Lx parameter systems are decreased if the imbalanced state of the shaft system of the motor is deteriorated. That is, the KI parameter, the Lshaft parameter, and various Lx parameters are related to the imbalance state of the shaft system of the motor of the target device 30. In addition, the KI parameter system is increased if the state of misalignment of the shaft system of the motor is deteriorated, and the Lshaft parameter system is decreased if the state of misalignment of the shaft system of the motor 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, and have a correlation. KI parameter and Irms parameter are increased if the state of load fluctuation is deteriorated. That is, the KI parameter and the Irms parameter are related to the state of the load fluctuation of the target device 30 and have a correlation. KI parameters, THD parameters, IHD parameters, and Iub parameters are increased if the state of the stator of the motor or the quality of the power supply is deteriorated. That is, the KI parameter, the THD parameter, the IHD parameter, and the Iub parameter are related to the state or power quality of the stator of the target device 30 and have a correlation. Lpole parameter and Lshaft parameter are reduced if the state of the motor deteriorates. That is, the Lpole parameter and the Lshaft parameter are related to the state of the rotor of the target device 30 and have a correlation.

FIG. 3 is a diagram showing an example of information stored in a parameter storage unit according to the first embodiment. The parameter storage unit 13 is shown in FIG. 3, and the measurement time is a time sequence corresponding to a certain period (for example, every half day or one day), and the measurement time, KI parameter, Lpole parameter, Lshaft parameter, Irms parameter, THD Parameters, IHD parameters, Lx parameters, and Iub parameters are related for 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 value storage unit 14 stores a range of values that have become normal 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 that are in the attention state and the range of values that are in the abnormal state. Here, the threshold value that distinguishes the range of values that are in the normal state from the range of values that are in the attention state is the first threshold, and the range of values that are in the attention state and the range of values that are in the abnormal state are defined The threshold for segmentation is the second threshold. In other words, the range of the values in the normal state, the range of the values in the attention state, and the range of values in the abnormal state are equivalent to the memory of the first threshold value and the second threshold value.

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 of the KI parameter in the attention state ranges from 1.0 to 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 range of the value of the Lpole parameter in the normal state is more than 50 dB. The range of the value of the Lpole parameter in the attention state is more than 40 dB and less than 50 dB. The range of the value of the Lpole parameter in the abnormal state is 40 dB or less. That is, the first threshold value for the Lpole parameter is 50 dB, and the second threshold value for the Lpole parameter is 40 dB.

The range of the value of the Lshaft parameter in the normal state is more than 50 dB. The value of the Lshaft parameter in the attention state ranges from 40 dB to 50 dB. The range of the value of the Lshaft parameter in the abnormal state is 40 dB or less. That is, the first threshold value for the Lshaft parameter is 50 dB, and the second threshold value for the Lshaft parameter is 40 dB.

The range of the value of the Irms parameter in the normal state is within a range of ± 10%. The range of the value of the Irms parameter in the attention state is ± 10% or more and less than ± 20%. The range of the value of the Irms parameter in the abnormal state is ± 20% or more. That is, the first threshold value related to the Irms parameter is changed by ± 10%, and the second threshold value related to the Irms parameter is changed by ± 20%.

The range of the value of the THD parameter in the normal state is less than 5%. The value of the THD parameter in the attention state ranges from 5% to 10%. The range of the value of the THD parameter in the abnormal state is 10% or more. That is, the first threshold value for the THD parameter is 5%, and the second threshold value for the THD parameter 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 value for the IHD parameter is 3%, and the second threshold value for the IHD parameter is 5%.

The range of the value of the Lx parameter in the normal state is more than 50 dB. The range of the value of the Lx parameter in the attention state exceeds 40 dB to 50 dB. 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 value of the Iub parameter in the attention state ranges from 3% to 5%. The range of the value of the Iub parameter in the abnormal state is 5% or more. That is, the first threshold value for the Iub parameter is 3%, and the second threshold value for the Iub parameter is 5%.

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

FIG. 6 is a flowchart showing a current parameter display process performed by the state analysis device of the first embodiment. The state analysis device 10 accepts input of a group of current parameters to be displayed when a current parameter display instruction is performed by a user's operation (step S11). The input of the group of the current parameters is performed from the parameter pairs (for example, the pair of the Lshaft parameter and the Lpole parameter, the pair of the THD parameter and the IHD parameter, and the pair of the KI parameter and Lx In the list of parameters, etc.), acceptance is performed by the user's choice. In other embodiments, the input of a group of current parameters may be performed by using any two parameters input by the user.

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

Next, the graph generation unit 15 draws on the coordinate space the coordinates representing the value of each pair of current parameters selected by the parameter storage unit 13 and the coordinates of the penultimate recordee (value before change). , An arrow G4 extending toward the coordinate representing 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 larger the difference between the value before the arrow G4 and the value after the change, the longer it becomes. That is, the larger the change amount of the arrow G4 series current parameter, the longer it is.

Next, the migration detection unit 16 determines whether at least one value of the selected paired current parameters exceeds the first threshold value based on the first threshold value and the second threshold value stored in the threshold value storage unit 14. The 1 threshold value or the second threshold value changes (step S16). If the value of the current parameter changes across the first threshold value or the second threshold value (step S16: YES), the chart 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 a predetermined time elapses from the time when the value of the current parameter crosses the threshold. However, in other embodiments, the predetermined message may be drawn only when the value of the current parameter changes in a direction that the state deteriorates beyond the first threshold value or the second threshold value. In addition, in other embodiments, the display form of the plot G3 may be changed to replace the drawing of the predetermined message. Taking the display form of plotting G3 as an example, the colors of plotting G3, the size of plotting G3, the presence or absence of plotting G3, and the like are listed. In other words, if the value of the current parameter does not exceed the first threshold value and the second threshold value (step S16: NO), the chart generation unit 15 does not draw a predetermined message.

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

FIG. 7 is a diagram showing an example of a graph showing a relationship between a KI parameter and a Lpole parameter. If the user selects the pair of the KI parameter and the Lpole parameter in step S11, the display device 20 displays a graph as shown in FIG. 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 have a correlation with respect 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 if the state of the rotor is deteriorated. That is, if the state of the rotor is deteriorated, the position where G3 is normally plotted moves in the lower right direction. On the other hand, if the moving direction of the plot G3 is not the lower right direction, it can be judged that something different from the usual deterioration of the rotor occurs. When the user selects a pair of the KI parameter and the Lshaft parameter, even when the user selects a pair of the KI parameter and the Lx parameter, a graph similar to FIG. 7 is also displayed on the display device 20.

FIG. 8 is a diagram showing an example of a graph showing a relationship between IHD parameters and THD parameters. If the user selects a pair of the IHD parameter and the THD parameter in step S11, the display device 20 displays a graph as shown in FIG. 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 of the stator of the motor of the target device 30 or the power quality, and have a correlation. Therefore, the user can easily confirm the state of the stator of the motor of the target device 30 or the quality of the power source by using the graph shown in FIG. 8. Specifically, the IHD parameter and the THD parameter are increased if the state of the stator of the motor or the quality of the power supply is deteriorated. That is, if the state of the stator of the motor or the quality of the power supply is deteriorated, the position where G3 is normally plotted moves in 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 an event different from the state of the stator of the ordinary motor or the deterioration of the power supply quality occurs.

FIG. 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 display device 20 displays a graph as shown in FIG. 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 the Lshaft parameter decrease if the state of the motor deteriorates. Here, the Lpole parameter and the Lshaft parameter are parameters that change according to the deterioration of different parts of the motor, respectively. Therefore, the user can estimate the portion where the abnormality occurs in the motor by observing the tilt of the moving direction of the plot G3.

Among them, in order to confirm the state of the target device 30 indicated by each current parameter, if the user confirms a paired graph of KI parameters and Lpole parameters, a paired graph of KI parameters and Lshaft parameters, and related KI parameters and Lx Paired charts of parameters and pairs of IHD parameters and THD parameters are sufficient. Alternatively, the user may confirm a paired graph of Lpole parameters and Lshaft parameters, a paired graph of KI parameters and Lx parameters, and a paired graph of IHD parameters and THD parameters.

As described above, according to the first embodiment, the state analysis device 10 generates a coordinate space on the axis of each of a plurality of current parameters having a correlation relationship with each other. The display information of the value G3 and the arrow G4 indicating the amount of change in the value of the current parameter are plotted. Thereby, the user can recognize how the state of the target device 30 changes 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 states other than the states related to the individual current parameters. However, in other embodiments, a graph other than G3 may be plotted to indicate the value of the current parameter. For example, the arrow G4 of the first embodiment is a graph showing a change amount of a current parameter, but the arrow is a value indicating a current parameter in a time series. Therefore, the arrow G4 may also be referred to as a graph showing a value of a 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 amount of the current parameter may be displayed in a graph, or may 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 a plurality of parameters related to different timings crosses a threshold value. Thereby, the user can quickly recognize that the state of the target device 30 has changed. However, in other embodiments, the state analysis device 10 may change the display form of the plot G3 when at least one value of the plural parameters related to different timings crosses the threshold value and does not cross the threshold value. Thereby, similarly to the first embodiment, the user can quickly recognize that the state of the target device 30 has changed.

The embodiment has been described in detail with reference to the drawings, but the specific configuration is not limited to the above, and various design changes can be made. For example, the state analysis device 10 of the above-mentioned embodiment displays a paired graph of the current parameters on the display device 20, but it is not limited to this. For example, the state analysis device 10 of another embodiment may display a higher-order graph of a group of three or more current parameters on the display device 20. In addition, the state analysis device 10 of the above-described embodiment is generated in a coordinate space having each of a plurality of current parameters having a correlation relationship as an axis, and a division line G2 indicating a threshold value and a standard indicating a value of a current parameter are arranged. Draw G3 display information, but it is not limited to this. For example, the state analysis device 10 of another embodiment may also generate display information indicating a value of a current parameter at a time and a change amount thereof. Even in the embodiment described above, the user can recognize how the state of the target device 30 changes.

In addition, the state analysis device 10 of the above-mentioned 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 another embodiment may transmit display information to a person who records display information on a storage medium without performing display control, or other display devices 20 connected through a network.

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

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

FIG. 10 is a schematic block diagram showing a configuration of a computer of at least one embodiment. The computer 90 is provided with a CPU 91, a main memory device 92, an auxiliary memory device 93, and an interface 94. The state analysis device 10 described above is built in the computer 90. Next, the operations of the processing units described above are stored in the auxiliary memory device 93 in the form of a program. The CPU 91 reads a program from the auxiliary memory device 93 and develops the program in the main memory device 92. The CPU 91 executes the above-mentioned processing according to the program. In addition, the CPU 91 secures a memory area corresponding to each of the aforementioned memory sections in the main memory device 92 in accordance with a 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 (DVD Only Read Memory), DVD-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 may be an external medium connected to the computer 90 through the interface 94 or a communication line. In addition, when the program is distributed to the computer 90 through a communication line, the computer 90 that has received the distribution can also deploy the program in the main memory device 92 to perform the above 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 implement part of the aforementioned functions. In addition, the program may be a combination file with other programs that have been stored in the auxiliary memory device 93, so-called differential files (differential programs). [Industrial availability]

With the state analysis device, display method, and program of this case, the state of the target device and the change of the state can be easily identified.

1‧‧‧ State Analysis System

10‧‧‧ State analysis device

11‧‧‧Current acquisition department

12‧‧‧Parameter Calculation Department

13‧‧‧parameter memory

14‧‧‧Threshold Memory

15‧‧‧ Graph generation department

16‧‧‧ Migration Detection Department

17‧‧‧Display Control Department

20‧‧‧ display device

30‧‧‧Target device

40‧‧‧Three-phase AC power

50‧‧‧ Power Line

60‧‧‧Clamping ammeter

90‧‧‧ computer

91‧‧‧CPU

92‧‧‧Master memory device

93‧‧‧ auxiliary memory device

94‧‧‧ interface

G1‧‧‧axis

G2‧‧‧ Division

G3‧‧‧Plotting

G4‧‧‧Arrow

FIG. 1 is a schematic diagram showing a configuration of a state analysis system according to the first embodiment. FIG. 2 is a schematic block diagram showing a configuration of a state analysis device according to 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 a current parameter calculation process performed by the state analysis device of the first embodiment. FIG. 6 is a flowchart showing a current parameter display process performed by the state analysis device of the first embodiment. 7 is a diagram showing an example of a graph showing a relationship between a KI parameter and a Lpole parameter. 8 is a diagram showing an example of a graph showing a relationship between the IHD parameter and the THD parameter. 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 a configuration of a computer of at least one embodiment.

Claims (11)

A state analysis device includes: (i) a current acquisition unit that acquires a current signal flowing to a target device; and (ii) a parameter calculation unit that calculates a state according to the target device based on the current signal at a certain period of time. Values of plural parameters that vary and have a correlation with each other; and a display information generating unit that generates display information in a coordinate space with each of the aforementioned plural parameters as an axis, and the display information is configured to indicate a state of being the aforementioned target device A division line of a predetermined threshold value of a judgment criterion; a first graph representing the value of the aforementioned plural parameter at a time sequence; and a second graph representing the amount of change of the aforementioned plural parameter value calculated at different time sequences. For example, the state analysis device of the first scope of application for a patent, wherein the display information generating unit generates the display information including a predetermined message if at least one value of the plurality of parameters related to different timings exceeds the threshold. For example, the state analysis device of the first patent application range, wherein the display information generating unit is configured to cause the at least one value of the plurality of parameters related to different timings to cross the threshold value and not to exceed the threshold value. The display pattern of the first figure is different. For example, the state analysis device for the second item of the patent application scope, wherein the display information generating unit is configured to cause the at least one value of the plurality of parameters related to different timings to cross the threshold value and not to exceed the threshold value. The display pattern of the first figure is different. For example, the state analysis device of the first patent application range, wherein the status of the target device includes: the target device is normal, the target device is abnormal, and the status of the target device may transition to abnormal. The state of the state is the attention state. The display information generating unit generates 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 division line. Displayed previously. For example, the status analysis device of the second patent application range, wherein the status of the target device includes: the status of the target device is normal, the status of the target device is abnormal, and the status of the target device may transition to abnormal The state of the state is the attention state. The display information generating unit generates 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 division line. Displayed previously. For example, the status analysis device of the third scope of the patent application, wherein the status of the target device includes: the status of the target device is normal, the status of the target device is abnormal, and the status of the target device may transition to abnormal The state of the state is the attention state. The display information generating unit generates 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 division line. Displayed previously. For example, the status analysis device of the fourth scope of the patent application, wherein the status of the target device includes: the status of the target device is normal, the status of the target device is abnormal, and the status of the target device may transition to abnormal The state of the state is the attention state. The display information generating unit generates 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 division line. Displayed previously. For example, the 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 plural parameters are selected. A parameter freely 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, a parameter indicating the actual value of the current flowing to the motor, and a parameter indicating the current The plurality of parameters are grouped by the parameters of the power quality and the parameters indicating the state of the auxiliary machine. A display method includes: (i) obtaining a current signal flowing to a target device; (ii) calculating a value of a complex parameter that changes according to the state of the target device and has a correlation with each other according to the current signal at a certain period of time; 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 configured with: A division line of a limit value; a first graph representing the value of the aforementioned plural parameters relating to a time series; and a second graph representing the aforementioned amount of change. A program for making a computer execute the following: Obtain the current signal flowing to the target device; Calculate the parameters of the plurality of parameters that change according to the state of the target device and have a correlation with each other based on the current signal at a certain periodic sequence Calculate the amount of change in the value of the complex parameter calculated at different timings; and generate display information in the coordinate space around each of the complex parameter as an axis, the display information being configured with: A distinguishing line of a threshold value of a judgment criterion; a first graph representing the value of the aforementioned plural parameters relating to a time series; and a second graph representing the aforementioned amount of change.