JP2012163439A - Rotating machine vibration monitoring system and monitoring method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a rotating machine vibration monitoring system and monitoring method in which a determination criterion for the presence/absence of abnormality or deterioration can be easily set for each rotating machine.SOLUTION: A rotating machine vibration monitoring system includes vibration detection means (1) which detects vibration of a rotating machine, data processing means (4) which performs frequency analysis on vibration waveform data of the vibration detected by the vibration detection means, frequency band extraction means (5, 6) which separates the vibration waveform data on which the frequency analysis has been performed into vibration waveform data of a plurality of frequency bands and calculates a vibration value of the vibration waveform data of each of the frequency bands, determination threshold value setting means (9) which sets a determination threshold value to be used for determining a degree of state change of the rotating machine on the basis of a vibration response property of the rotating machine for each of frequency bands, state determination means (7) which compares the vibration value of each of the frequency bands with the determination threshold value of each of the frequency bands to determine the degree of the state change of the rotating machine, and display means (11) which displays the state of the rotating machine determined by the state determination means.

Description

  The present invention relates to a rotating machine vibration monitoring system and a monitoring method.

  In plants such as power plants, vibrations and process values of rotating machines are recorded regularly or periodically, and abnormalities and deterioration occurring in rotating machines are detected early from changes in vibration levels and changes in frequency characteristics. is doing. Furthermore, the tendency of the recorded data is analyzed, and the time for overhauling the rotating machine is estimated. Examples of methods for determining the presence or absence of abnormalities and deterioration include methods that use criteria such as ISO (International Organization for Standardization), and reference values obtained from measurement data obtained by multiple measurements. A method of setting an alarm value and a stop value based on the above (for example, see Patent Document 1).

  It is known that when an abnormality or deterioration occurs in a rotating machine, the vibration level changes and a characteristic is observed in the generated vibration frequency. When an abnormality or deterioration occurs, changes in the vibration component of the frequency determined by an integer multiple of the rotation speed or the number of balls of the rolling bearing are observed. It is possible to determine the presence or absence of deterioration.

JP 2009-109350 A

  For example, as described above, the determination of the presence or absence of abnormality or deterioration of the rotating machine is based on existing criteria such as ISO, or criteria such as alarm values and stop values set based on multiple data measurements. It is done using.

  However, in existing determination standards such as ISO, the standard is set according to the output level of the rotating machine, and the same standard is applied to the same type of rotating machine. On the other hand, in reality, even in the same type of rotating machine, the vibration level and the vibration frequency are mostly varied. Therefore, when using an existing determination standard such as ISO, it is necessary to readjust the determination standard for each individual rotating machine.

  In addition, when using a criterion based on a plurality of data measurements, the criterion is set after data is collected for several months. Therefore, it is necessary to use a provisional criterion until then, and it is necessary to set the criterion again after obtaining the formal criterion.

  Furthermore, even when the rotary machine is disassembled and assembled, the vibration level and vibration frequency often change. Therefore, every time disassembly / assembly is performed, it is necessary to reset the criterion for the rotating machine. Further, when the periodic inspection of the rotating machine is performed, the vibration response characteristics change, and therefore it is necessary to reset the determination criteria for the rotating machine every periodic inspection.

  Even in the same type of rotating machine, the causes of the difference in vibration level and vibration frequency for each rotating machine include the difference in the support structure of the rotating machine and the difference in the adjustment state during assembly and installation. Since the support structure and the adjustment state are factors that affect the rigidity and damping characteristics of the rotating machine, the vibration characteristics of the rotating machine are changed. Therefore, the difference in the support structure and the adjustment state causes the difference in the vibration level and the vibration frequency.

  It is an object of the present invention to provide a rotating machine vibration monitoring system and a monitoring method capable of easily setting a criterion for the presence or absence of abnormality or deterioration by considering the vibration characteristics of each rotating machine. Let it be an issue.

  A rotating machine vibration monitoring system according to one aspect of the present invention includes a vibration detecting unit that detects vibration of a rotating machine, and a data processing unit that performs frequency analysis on vibration waveform data of the vibration detected by the vibration detecting unit. And the frequency waveform extraction means for separating the vibration waveform data subjected to the frequency analysis into vibration waveform data of a plurality of frequency bands, and calculating a vibration value of the vibration waveform data of each frequency band; A determination threshold value setting means for setting a determination threshold value used for determining the degree of state change of the rotating machine based on vibration response characteristics of the rotating machine, and the frequency band State determination means for determining the degree of state change of the rotating machine by comparing the vibration value and the determination threshold value of each frequency band; and And display means for displaying the status of the determined the rotating machine by condition judging means.

  In addition, the rotating machine vibration monitoring method according to another aspect of the present invention includes detecting vibrations of the rotating machine, performing frequency analysis on the detected vibration waveform data, and performing the frequency analysis. The waveform data is separated into vibration waveform data of a plurality of frequency bands, the vibration value of the vibration waveform data of each frequency band is calculated, and the degree of state change of the rotating machine is determined for each frequency band. A determination threshold value to be used is set based on vibration response characteristics of the rotating machine, and the vibration value of each frequency band is compared with the determination threshold value of each frequency band, The degree of state change of the rotating machine is determined, and the determined state of the rotating machine is displayed.

  According to the present invention, it is possible to easily set a criterion for the presence or absence of abnormality or deterioration for each rotating machine by considering the vibration characteristics of each rotating machine.

It is a system configuration figure showing an example of composition of a rotating machine vibration monitoring system of an embodiment of the present invention. It is a block diagram which shows the structural example of the determination threshold value setting part of FIG. It is the perspective view which showed the example of the vibration response model of a low frequency area | region. It is the perspective view which showed the example of the vibration response model of a high frequency area | region. It is the graph which showed the example of the prediction curve of a vibration value.

  Embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a system configuration diagram showing a configuration example of a rotating machine vibration monitoring system according to an embodiment of the present invention.

  The rotating machine vibration monitoring system in FIG. 1 includes a vibration detection unit 1, an amplifier unit 2, an A / D (Analog to Digital) conversion unit 3, a data processing unit 4, a low frequency region extraction unit 5, and a high frequency region. An extraction unit 6, a state determination unit 7, a recording unit 8, a determination threshold value setting unit 9, a tendency prediction processing unit 10, and a display unit 11 are provided.

  The vibration detection unit 1 is installed in the rotating machine and detects the vibration of the rotating machine. The vibration detection unit 1 is, for example, a sensor such as an accelerometer or a displacement meter. The vibration waveform detected by the vibration detection unit 1 is amplified by the amplifier unit 2 and converted from an analog signal to a digital signal by the A / D conversion unit 3.

  The vibration waveform data converted into a digital signal by the A / D conversion unit 3 is subjected to data processing by the data processing unit 4. Specifically, the data processing unit 4 performs filter processing and frequency analysis (Fourier transform) on the vibration waveform data. Vibration waveform data before frequency analysis, vibration waveform data after frequency analysis, that is, vibration waveform data before Fourier transform, and vibration waveform data after Fourier transform are recorded in the recording unit 8.

  Next, processing by the low frequency region extraction unit 5 and the high frequency region extraction unit 6 will be described.

  The vibration waveform data subjected to frequency analysis by the data processing unit 4 is separated into vibration waveform data in a low frequency band and vibration waveform data in a high frequency band by filtering processing by the low frequency region extraction unit 5 and the high frequency region extraction unit 6. The

  Then, the low frequency region extraction unit 5 calculates the vibration level (vibration value) and the characteristic frequency (peak frequency) of the vibration waveform data in the low frequency band. On the other hand, the high frequency region extraction unit 6 calculates the vibration level and the characteristic frequency of the vibration waveform data in the high frequency band. The vibration level and the characteristic frequency calculated by the low frequency region extraction unit 5 and the high frequency region extraction unit 6 are recorded in the recording unit 8. The low frequency region extracting unit 5 and the high frequency region extracting unit 6 correspond to an example of the frequency band extracting unit of the present invention.

  The low frequency region extraction unit 5 and the high frequency region extraction unit 6 are, for example, a low-pass filter and a high-pass filter having the same cutoff frequency. The value of the cutoff frequency is, for example, 1 kHz to 10 kHz. Note that the cutoff frequencies of both filters may be different from each other.

  Here, the reason why the vibration waveform data is divided into vibration waveform data of two frequency bands is to perform processing described later according to the characteristics of vibration. It is considered that the vibration in the low frequency band is easily affected by the low natural frequency due to the installation state of the rotating machine, for example, the rigidity of the support structure or the layout of the piping. On the other hand, it is considered that the vibration in the high frequency band is easily affected by the rigidity of the rotating machine body and the tightening condition.

  When processing these frequency bands together, is the change in the vibration waveform caused by, for example, an increase in vibration due to deterioration of the rolling bearing or an increase in vibration propagated from piping other than the rotating machine? It is difficult to judge.

  On the other hand, in the present embodiment, the vibration waveform data is divided and evaluated for each frequency band, so that it is easy to analyze the occurring event.

  In addition, it is thought that the frequency of the low frequency vibration which is a problem in the vibration waveform of the rotating machine is about 0.1 kHz to 1 kHz. On the other hand, it is considered that the frequency of the high frequency vibration which is a problem in the vibration waveform of the rotating machine is about 20 kHz. Therefore, in the above example, 1 kHz to 10 kHz is cited as an example of the cutoff frequency of the low frequency region extraction unit 5 and the high frequency region extraction unit 6.

  Next, processing by blocks following the low frequency region extraction unit 5 and the high frequency region extraction unit 6 will be described.

  The determination threshold value setting unit 9 is a block for setting a determination threshold value for each of the low frequency band and the high frequency band. The determination threshold value is used, for example, to determine the degree of state change of the rotating machine, such as the presence or absence of abnormality or deterioration of the rotating machine. The determination threshold value setting unit 9 sets a determination threshold value based on the vibration response characteristics of the rotating machine, as will be described later.

  Then, the state determination unit 7 determines the vibration level calculated by the low frequency region extraction unit 5 and the vibration level calculated by the high frequency region extraction unit 6 for each determination recorded in the determination threshold setting unit 9. Compare with the threshold value (judgment reference value). That is, the state determination unit 7 compares the vibration level in the high frequency band and the determination threshold value for the high frequency band, and compares the vibration level in the low frequency band and the determination threshold value for the low frequency band. .

  And the state determination part 7 determines the presence or absence of abnormality and deterioration of the rotating machine used as the monitoring object based on these comparison results. Various settings can be considered as to what kind of comparison result the state determination unit 7 determines as abnormal or deteriorated. For example, a setting may be considered in which when the vibration level of either the high frequency band or the low frequency band is equal to or higher than the determination threshold, it is determined that there is an abnormality or deterioration. The determination result is recorded in the recording unit 8 together with the above-described vibration waveform data, vibration level, and characteristic frequency.

  The vibration level calculated by the low frequency region extraction unit 5 and used by the state determination unit 8 may be an effective value, maximum value, or average absolute value of the vibration level in the low frequency band, or a characteristic frequency in the low frequency band. The amplitude value of the vibration level at. Similarly, the vibration level calculated by the high frequency region extraction unit 6 and used by the state determination unit 8 may be an effective value, maximum value, or average absolute value of the vibration level in the high frequency band, or vibration at a characteristic frequency in the high frequency band. It may be a level amplitude value.

  The rotating machine vibration monitoring system in FIG. 1 periodically performs the above processing, and accumulates the above-described vibration waveform data, vibration level, characteristic frequency, and determination result in the recording unit 8.

  Then, the trend prediction processing unit 10 analyzes the trend of the accumulated data, and predicts the next state change of the monitored rotating machine based on the analysis result. For example, the trend prediction processing unit 10 analyzes the tendency of the accumulated vibration level and predicts the next vibration level and change in the determination result.

  Furthermore, the trend prediction processing unit 10 also predicts the time when the abnormality or deterioration of the rotating machine occurs and the time for overhauling and checking the rotating machine from the above prediction results. Details of the trend prediction by the trend prediction processing unit 10 will be described later.

  The display unit 11 is a display for displaying the determination result by the state determination unit 7 and the prediction result by the trend prediction processing unit 10. The operator of the rotating machine can know the past or current state of the rotating machine by displaying the determination result on the display unit 11. Further, the operator of the rotating machine can know the predicted result of the future state change of the rotating machine, the predicted result of the overhaul of the rotating machine, and the like by displaying the predicted result on the display unit 11.

  In this embodiment, the vibration waveform data subjected to frequency analysis is separated into vibration waveform data of two frequency bands, but may be separated into three or more frequency bands. In this case, the determination threshold is set for each of these three or more frequency bands.

(1) Details of Determination Threshold Setting Unit 9 FIG. 2 is a block diagram showing a configuration example of the determination threshold setting unit 9 in FIG.

  In the configuration example shown in FIG. 2, vibration response characteristics are evaluated using a vibration response model of a rotating machine, and a criterion for each frequency band is set.

  The equipment information database 16 stores design information of rotating machines to be monitored. Examples of design information include dimensions, rigidity, mass, support conditions, and the like of a rotating machine and surrounding piping. Further, as another example of the design information, there are detailed dimensions (for example, detailed dimensions of a rolling bearing) of a highly rigid portion such as a bearing portion and a bearing box of a rotating machine.

  The determination threshold value setting unit 9 acquires the dimensions, rigidity, mass, support conditions, etc. of the rotating machine and its surrounding piping from the equipment information database 16, and based on these design information, vibration response in the low frequency region Model 14 is built. Similarly, the determination threshold value setting unit 9 acquires detailed dimensions and the like of the high rigidity portion of the rotating machine from the device information database 16 and builds a vibration response model 15 in a high frequency region based on the design information. To do.

Examples of these vibration response models are shown in FIGS. FIG. 3 is a perspective view showing an example of the vibration response model 14 in the low frequency region, and FIG. 4 is a perspective view showing an example of the vibration response model 15 in the high frequency region. FIG. 3 shows an example in which a rotating machine, piping, and a support structure thereof are modeled by springs and dashpots indicated by X _{1 to} X ₄ . On the other hand, FIG. 4 shows an example in which a bearing portion and a bearing box of a rotating machine are modeled by a finite element method.

  Hereinafter, the description of the configuration example of FIG. 2 will be continued.

  The excitation force database 17 stores data of elements serving as excitation forces applied to the rotating machine. Examples of the excitation force include excitation force due to operation of the rotating machine, excitation force due to abnormality or deterioration of the rotating machine, and the like.

  The determination threshold value setting unit 9 performs vibration response analysis using the vibration response model 14 in the low frequency region, the vibration response model 15 in the high frequency region, and data acquired from the excitation force database 17. In the vibration response analysis, the vibration response characteristics of the rotating machine with respect to the excitation force due to the above elements, that is, how the rotating machine vibrates is analyzed.

  When abnormality or deterioration occurs in an actual rotating machine, an excitation force that is an integral multiple of the number of rotations is applied to the rotating machine. Therefore, in the vibration response analysis described above, such a value of the excitation force is estimated and input to the vibration response models 14 and 15. Thereby, it is possible to estimate the vibration level and vibration frequency when abnormality or deterioration occurs.

  As described above, the determination threshold value setting unit 9 analyzes the vibration response characteristics of the rotating machine using the vibration response models 14 and 15, and based on the analysis result, the vibration level when abnormality or deterioration occurs is determined. Is calculated.

  Then, the determination threshold setting unit 9 sets the vibration level calculated from the vibration response model 14 as a determination threshold for the low frequency band, and records it in the storage unit 8 as the determination reference database 12. Similarly, the determination threshold value setting unit 9 sets the vibration level calculated from the vibration response model 15 as the determination threshold value for the high frequency band, and records it in the storage unit 8 as the determination reference database 13.

  As described above, in this embodiment, by introducing the vibration response model and setting the determination threshold value, it is possible to perform a determination process in consideration of vibration response characteristics that are different for each rotating machine. In the present embodiment, since a different determination threshold value can be set for each rotating machine, it is possible to perform highly accurate determination.

(2) Modification 1 of the processing of the determination threshold value setting unit 9
Next, referring to FIG. 2 again, a modified example of the process of the determination threshold value setting unit 9 will be described.

  In the above example, the determination threshold value setting unit 9 sets the determination threshold value based on the vibration response characteristic calculated from the design information of the rotating machine. On the other hand, as shown in FIG. 2, the determination threshold value setting unit 9 calculates a vibration response characteristic from measurement data 18 obtained by actual vibration measurement, and sets a determination threshold value based on the vibration response characteristic. It may be set.

  Here, the vibration response characteristic of an actual rotating machine varies depending on the installation state of the rotating machine in the plant. Therefore, it is desirable to perform the vibration measurement with the rotating machine installed in the plant. The vibration measurement is performed by an impulse test of the rotating machine, for example, by hitting the rotating machine with a hammer. In the impulse test, the natural frequency and damping coefficient of the rotating machine are measured. The measured values of the natural frequency and the damping coefficient are input to the determination threshold setting unit 9 as vibration measurement data 18.

  In this case, the determination threshold setting unit 9, for example, the vibration response model 14 in the low frequency region, the vibration response model 15 in the high frequency region, the data acquired from the excitation force database 17, and the vibration measurement data 18 described above. Is used to perform vibration response analysis. The vibration measurement data 18 is used for fine adjustment of the vibration response models 14 and 15, for example. By such fine adjustment, it is possible to estimate the vibration level and vibration frequency with higher accuracy.

  In the above measurement, instead of the impulse test, vibration waveform data at the time of starting the rotating machine (when turning on the power) may be measured. The natural frequency of the rotating machine can also be measured by measurement in such a transient change state. In this case, the measured value of the natural frequency is input to the determination threshold value setting unit 9 as the vibration measurement data 18.

(3) Modification 2 of the process of the determination threshold value setting unit 9
The rotating machine vibration monitoring system in FIG. 1 may monitor a plurality of rotating machines. Hereinafter, processing of the determination threshold value setting unit 9 in such a case will be described.

  Here, it is assumed that a plurality of rotating machines include a rotating machine for which the determination threshold is not yet set and a rotating machine for which the determination threshold is already set. The former rotating machine is referred to as an unset rotating machine, and the latter rotating machine is referred to as an already set rotating machine.

  In this case, the determination threshold value setting unit 9 of the present modification includes the determination threshold value of the unset rotating machine, the determination threshold value and vibration response characteristic of the already set rotating machine, and the vibration response characteristic of the unset rotating machine. Set based on and. For example, if the vibration of an unset rotating machine due to a certain exciting force is greater than the vibration of an already set rotating machine caused by the same exciting force, the unset rotating speed depends on the difference or ratio of the vibrations of both. The determination threshold value of the machine is set to a value larger than the determination threshold value of the preset rotating machine. According to such a setting method, it becomes possible to easily set a determination threshold value for an unset rotating machine.

  In this case, it is desirable to tune the accuracy of the vibration response characteristics and determination threshold of the preset rotating machine by using, for example, vibration measurement data 18. Thereby, it is possible to improve the accuracy of the determination threshold value of the unset rotating machine.

  In the rotating machine vibration monitoring system of FIG. 1, the vibration detection unit 1 is a sensor such as an accelerometer or a displacement meter installed in the rotating machine, and the other blocks 2 to 11 are, for example, a personal computer or a portable information terminal. Is a block in a computer. This computer may be always connected to the rotating machine with a cable or a network, or an operator of the rotating machine may be connected to the rotating machine at the time of inspection. This is the same when the rotating machine vibration monitoring system of FIG. 1 sets one rotating machine as a monitoring target or a plurality of rotating machines as monitoring targets.

(4) Details of Trend Prediction Processing Unit 10 Next, a specific example of processing of the trend prediction processing unit 10 will be described.

  As described above, the rotating machine vibration monitoring system in FIG. 1 periodically accumulates the vibration level, the characteristic frequency, and the determination result calculated for each of the low frequency band and the high frequency band in the recording unit 8. Then, the tendency prediction processing unit 10 analyzes the tendency of the accumulated vibration level, and predicts the next vibration level of the monitored rotating machine and the change in the determination result based on the analysis result. This will be described with reference to FIG.

  FIG. 5 is a graph showing an example of a prediction curve of vibration value (vibration level).

The graph of FIG. 5 is a plot of vibration values in the low frequency band or high frequency band accumulated in the recording unit 8 in time series order. FIG. 5 further shows a determination threshold value V ₁ for attention determination and a determination threshold value V ₂ for stop determination as determination threshold values for the low frequency band or the high frequency band.

  As shown in FIG. 5, the trend prediction processing unit 10 uses a plurality of vibration values including the latest vibration value to derive a prediction curve that represents a future vibration value change. The prediction curve is, for example, a fitting curve derived based on a plurality of vibration values. And the tendency prediction process part 10 estimates the vibration value of the time later than the present using this prediction curve.

  Further, the trend prediction processing unit 10 also predicts the time when the abnormality or deterioration of the rotating machine occurs and the overhaul time of the rotating machine. These times can be predicted by, for example, calculating the time when the prediction curve reaches a predetermined value.

  The display unit 11 displays, for example, the determination result by the state determination unit 7 and the prediction result by the trend prediction processing unit 10. As the determination result, for example, the presence or absence of abnormality or deterioration of the rotating machine in the past and the present is displayed in chronological order. In addition, as a prediction result, for example, whether there is an abnormality or deterioration of the rotating machine in the future is displayed in chronological order.

When the current (latest) vibration value has reached the determination threshold value V ₁ for attention determination, a display for prompting the driver to pay attention may be displayed on the display unit 11. Further, when the current vibration value has reached the determination threshold value V ₂ for stop determination, a display that prompts the driver to stop the rotating machine may be displayed on the display unit 11.

On the other hand, the trend prediction processing unit 10 may calculate the time for the prediction curve to reach the determination threshold V ₁ or the time for reaching the determination threshold V ₂ . In this case, the former time may be displayed on the display unit 11 as a time to call attention, and the latter time may be displayed as a time to call for stopping the rotating machine. In the present embodiment, the former time may be handled as a time when abnormality or deterioration of the rotating machine occurs, and the latter time may be handled as an overhaul time of the rotating machine.

  Note that the process of periodically accumulating vibration values and the like in the recording unit 5 may be performed, for example, at regular intervals or while varying the cycle. In the present embodiment, this accumulation process is performed, for example, once a month. In this case, when abnormality or deterioration is found in the rotating machine, the cycle may be changed, for example, by switching the accumulation process to a cycle once a day.

(5) Effects of this embodiment Finally, the effects of this embodiment will be described.

  As described above, in this embodiment, the vibration waveform data is separated into vibration waveform data of a plurality of frequency bands, and the presence or absence of abnormality or deterioration of the rotating machine is determined using the separated vibration waveform data. Thereby, in this embodiment, it becomes possible to analyze appropriately the cause of abnormality or degradation.

  In addition, the rotating machine vibration monitoring system of the present embodiment includes a determination threshold setting unit 9 that calculates and sets a determination threshold for determining whether there is abnormality or deterioration of the rotating machine from design information and measurement data. I have. Thereby, in this embodiment, it becomes possible to set a different determination threshold value for each frequency band and each rotating machine, and it is possible to perform a highly accurate determination.

  Further, the rotating machine vibration monitoring system of the present embodiment includes a tendency prediction processing unit 10 that predicts future abnormality or deterioration of the rotating machine using the calculation result of the vibration value for each frequency band. Thereby, in this embodiment, it becomes possible to perform the accurate prediction in consideration of the difference in the frequency band and the rotating machine, similarly to the determination by the state determination unit 7.

  As mentioned above, although the example of the specific aspect of this invention was demonstrated by embodiment of this invention, this invention is not limited to the said embodiment.

1: vibration detection unit, 2: amplifier unit, 3: A / D conversion unit, 4: data processing unit,
5: Low frequency region extraction unit, 6: High frequency region extraction unit, 7: State determination unit, 8: Recording unit,
9: determination threshold setting unit, 10: trend prediction processing unit, 11: display unit,
12: Judgment reference database for low frequency region,
13: Judgment standard database for high frequency region,
14: Vibration response model in the low frequency region,
15: Vibration response model in the high frequency region,
16: Device information database, 17: Excitation force database, 18: Vibration measurement data

Examples of these vibration response models are shown in FIGS. FIG. 3 is a perspective view showing an example of the vibration response model 14 in the low frequency region, and FIG. 4 is a perspective view showing an example of the vibration response model 15 in the high frequency region. FIG. 3 shows an example in which the support structure of the rotating machine and the support structure of the pipe are modeled by springs and dashpots indicated by X _{1 to} X ₄ . On the other hand, FIG. 4 shows an example in which a bearing portion and a bearing box of a rotating machine are modeled by a finite element method.

Claims (7)

Vibration detecting means for detecting vibration of the rotating machine;
Data processing means for performing frequency analysis on vibration waveform data of the vibration detected by the vibration detection means;
The frequency waveform extraction means for separating the vibration waveform data subjected to the frequency analysis into vibration waveform data of a plurality of frequency bands, and calculating a vibration value of the vibration waveform data of each frequency band;
Determination threshold setting means for setting a determination threshold value used for determining the degree of state change of the rotating machine based on the vibration response characteristics of the rotating machine for each frequency band;
A state determination means for determining the degree of state change of the rotating machine by comparing the vibration value of the respective frequency band and the determination threshold value of the respective frequency band;
Display means for displaying the state of the rotating machine determined by the state determination means;
A rotating machine vibration monitoring system.   The determination threshold value setting means sets the determination threshold value of an unset rotating machine that is a rotating machine for which the determination threshold value is not set to an existing rotating machine that has the determination threshold value set. The rotating machine vibration monitoring system according to claim 1, wherein the rotating machine vibration monitoring system is set based on the determination threshold value and the vibration response characteristic of a set rotating machine, and the vibration response characteristic of the unset rotating machine.   The rotating machine vibration monitoring system according to claim 1 or 2, wherein the determination threshold value setting unit sets the determination threshold value based on the vibration response characteristic calculated from design information of the rotating machine.   The rotating machine vibration according to claim 1 or 2, wherein the determination threshold setting unit sets the determination threshold based on the vibration response characteristic calculated from a measured value of the natural frequency of the rotating machine. Monitoring system.   The determination threshold value setting unit sets the determination threshold value based on the vibration response characteristic calculated from the vibration waveform data in a transient change state of the rotating machine. Rotating machine vibration monitoring system. Recording means for periodically recording the vibration values of the respective frequency bands;
Trend prediction processing means for predicting future state changes of the rotating machine from the tendency of the vibration value recorded periodically,
The rotating machine vibration monitoring system according to any one of claims 1 to 5, further comprising: Detect vibration of rotating machine,
Perform frequency analysis on the vibration waveform data of the detected vibration,
The vibration waveform data subjected to the frequency analysis is separated into vibration waveform data of a plurality of frequency bands, and a vibration value of the vibration waveform data of each frequency band is calculated,
For each frequency band, a determination threshold value used for determining the degree of state change of the rotating machine is set based on the vibration response characteristics of the rotating machine,
By comparing the vibration value of each frequency band and the determination threshold value of each frequency band, determine the degree of state change of the rotating machine,
Display the determined state of the rotating machine;
Rotating machine vibration monitoring method.

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