CN112539827A - Unit mechanical vibration evaluation method and system based on frequency energy ratio - Google Patents
Unit mechanical vibration evaluation method and system based on frequency energy ratio Download PDFInfo
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Abstract
The application relates to a method and a system for evaluating mechanical vibration of a unit based on frequency energy ratio. The method comprises the following steps: constructing a data extraction method of mechanical vibration in the change of the rotating speed of the unit, and acquiring order frequency characteristic parameters from the extracted vibration data; constructing a multivariate characterization matrix of the mechanical vibration state of the unit with the spatial characteristics according to the order frequency characteristic parameters; acquiring a health sample state matrix of the unit, calculating the average Euclidean distance between the health sample state matrix and the multivariate characterization matrix, and acquiring an expected value; and evaluating the energy structure change of the frequency component of the mechanical vibration according to the expected value. By the aid of the assessment method, the machine set mechanical vibration state change trend assessment is achieved, potential safety hazards which may exist during early startup of the machine set are discovered, startup self-inspection is achieved, and guidance is provided for safe and stable operation of the machine set. In addition, the evaluation method effectively saves labor cost and improves evaluation efficiency.
Description
Technical Field
The application relates to the technical field of power equipment, in particular to a method and a system for evaluating mechanical vibration of a unit based on frequency energy ratio.
Background
The dynamic starting process of the hydroelectric generating set comprises a series of transition processes including speed rising, excitation and pressure build-up and synchronization, compared with steady-state working conditions such as no-load and load stability, the dynamic starting process is poor in unit stability performance, but the process stability state monitoring data comprise rich unit stability information, for example, the starting speed rising stage contains characterization information of mechanical vibration at different rotating speeds, so that the process stability state monitoring data are analyzed and mined to obtain the rich information of the mechanical vibration state.
At present, most of evaluations of the state of mechanical vibration in a unit are carried out manually according to manual experience, and meanwhile, comprehensive evaluations are carried out by combining the loss of parts in the mechanical vibration, so that whether the process of the mechanical vibration is in a healthy state or not is finally judged.
Disclosure of Invention
In view of the above, it is necessary to provide a method and a system for evaluating mechanical vibration of a power unit based on frequency energy ratio.
In a first aspect, an embodiment of the present invention provides a method for evaluating mechanical vibration of a unit based on frequency energy ratio, including the following steps:
constructing a data extraction method of mechanical vibration in the change of the rotating speed of the unit, and acquiring order frequency characteristic parameters from the extracted vibration data;
constructing a multivariate characterization matrix of the mechanical vibration state of the unit with the spatial characteristics according to the order frequency characteristic parameters;
acquiring a health sample state matrix of the unit, calculating the average Euclidean distance between the health sample state matrix and the multivariate characterization matrix, and acquiring an expected value;
and evaluating the energy structure change of the frequency component of the mechanical vibration according to the expected value.
Further, the method for extracting data of mechanical vibration in the change of the rotating speed of the set is constructed, and order frequency characteristic parameters are obtained from the extracted vibration data, and the method comprises the following steps:
according to the rotating speed information measured by the key phase sensor, a vibration characteristic signal proportional to the rotating speed of the unit is obtained through a frequency counter and a proportional synthesizer;
processing the vibration characteristic signal through an analog tracking oscilloscope and a digital-to-analog converter to obtain a vibration angle domain stable signal;
and carrying out Fourier transform on the stable signal of the vibration angle domain, and obtaining the order frequency characteristic parameter through order spectrum analysis.
Further, constructing a multivariate characterization matrix of the mechanical vibration state of the unit with the spatial characteristics according to the order frequency characteristic parameters includes:
sampling signal waveform data based on a vibration angle in a rotation speed change process, and describing a characteristic order frequency energy ratio of the order frequency characteristic parameter under a vibration stability parameter;
obtaining a variation trend characterization vector of the multi-element characteristic order frequency energy ratio according to the characteristic order frequency energy ratio;
and acquiring the multivariate characterization matrix in the overall structure of the mechanical vibration state sample space through the variation trend characterization vector.
Further, acquiring a health sample state matrix of the unit, calculating an average euclidean distance between the health sample state matrix and the multivariate characterization matrix, and acquiring an expected value includes:
selecting state monitoring data in the first startup rotating speed change process after the unit is overhauled to obtain a mechanical vibration multi-characteristic order frequency energy ratio change trend sample as a health sample;
constructing the state matrix according to the health sample, and calculating the average Euclidean distance between the state matrix and the multivariate characterization matrix;
and obtaining an expected value of the health sample for constructing the state matrix according to the average Euclidean distance.
Further, the evaluating the structural change of the frequency component energy of the mechanical vibration according to the expected value comprises:
obtaining a state index value based on the multi-element characteristic frequency energy ratio change trend according to the expected value;
respectively depicting trend change graphs of the state index values in different mechanical vibration frequency states and the unit operation date;
and displaying the energy structure change of the frequency components of the mechanical vibration according to the waveform change of the trend change chart, and finishing the mechanical vibration evaluation of the unit through the energy structure change.
On the other hand, the embodiment of the invention also provides a set mechanical vibration evaluation system based on the frequency energy ratio, which comprises the following components:
the parameter construction module is used for constructing a data extraction method of mechanical vibration in the change of the rotating speed of the unit and acquiring order frequency characteristic parameters from the extracted vibration data;
the multivariate characteristic processing module is used for constructing a multivariate characterization matrix of the mechanical vibration state of the unit with the spatial characteristics according to the order frequency characteristic parameters;
the data processing module is used for acquiring a health sample state matrix of the unit, calculating the average Euclidean distance between the health sample state matrix and the multivariate characterization matrix, and acquiring an expected value;
and the energy evaluation module is used for evaluating the energy structure change of the frequency component of the mechanical vibration according to the expected value.
Further, the parameter construction module includes a parameter acquisition unit, and the parameter acquisition unit is configured to:
according to the rotating speed information measured by the key phase sensor, a vibration characteristic signal proportional to the rotating speed of the unit is obtained through a frequency counter and a proportional synthesizer;
processing the vibration characteristic signal through an analog tracking oscilloscope and a digital-to-analog converter to obtain a vibration angle domain stable signal;
and carrying out Fourier transform on the stable signal of the vibration angle domain, and obtaining the order frequency characteristic parameter through order spectrum analysis.
Further, the multivariate feature processing module comprises a multivariate matrix unit, and the multivariate matrix unit is used for:
sampling signal waveform data based on a vibration angle in a rotation speed change process, and describing a characteristic order frequency energy ratio of the order frequency characteristic parameter under a vibration stability parameter;
obtaining a variation trend characterization vector of the multi-element characteristic order frequency energy ratio according to the characteristic order frequency energy ratio;
and acquiring the multivariate characterization matrix in the overall structure of the mechanical vibration state sample space through the variation trend characterization vector.
Further, the data processing module includes an index comparing unit, and the index comparing unit is configured to:
selecting state monitoring data in the first startup rotating speed change process after the unit is overhauled to obtain a mechanical vibration multi-characteristic order frequency energy ratio change trend sample as a health sample;
constructing the state matrix according to the health sample, and calculating the average Euclidean distance between the state matrix and the multivariate characterization matrix;
and obtaining an expected value of the health sample for constructing the state matrix according to the average Euclidean distance.
Further, the energy evaluation module comprises a frequency energy analysis unit for:
obtaining a state index value based on the multi-element characteristic frequency energy ratio change trend according to the expected value;
respectively depicting trend change graphs of the state index values in different mechanical vibration frequency states and the unit operation date;
and displaying the energy structure change of the frequency components of the mechanical vibration according to the waveform change of the trend change chart, and finishing the mechanical vibration evaluation of the unit through the energy structure change.
The beneficial effect of this application is: the embodiment of the invention discloses a method and a system for evaluating mechanical vibration of a unit based on frequency energy ratio, wherein the method comprises the following steps: constructing a data extraction method of mechanical vibration in the change of the rotating speed of the unit, and acquiring order frequency characteristic parameters from the extracted vibration data; constructing a multivariate characterization matrix of the mechanical vibration state of the unit with the spatial characteristics according to the order frequency characteristic parameters; acquiring a health sample state matrix of the unit, calculating the average Euclidean distance between the health sample state matrix and the multivariate characterization matrix, and acquiring an expected value; and evaluating the energy structure change of the frequency component of the mechanical vibration according to the expected value. By the aid of the assessment method, the machine set mechanical vibration state change trend assessment is achieved, potential safety hazards which may exist during early startup of the machine set are discovered, startup self-inspection is achieved, and guidance is provided for safe and stable operation of the machine set. In addition, the evaluation method effectively saves labor cost and improves evaluation efficiency.
Drawings
FIG. 1 is a schematic flow chart of a method for evaluating mechanical vibration of a power plant based on frequency-energy ratio according to an embodiment;
FIG. 2 is a schematic flow chart illustrating an exemplary process for acquiring initial parameters of mechanical vibrations;
FIG. 3 is a schematic diagram of a process for constructing a multivariate characterization matrix in one embodiment;
FIG. 4 is a schematic flow chart illustrating calculation of expected values for a state matrix in one embodiment;
FIG. 5 is a schematic flow chart illustrating the evaluation of mechanical vibration by frequency energy in one embodiment;
FIG. 6 is a block diagram of a system for evaluating mechanical vibration of a power plant based on frequency-energy ratio in an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The distribution change of the vibration energy in the frequency domain usually indicates that the leading unstable factor of the unit changes, and also indicates that the potential fault of the unit occurs, and the change of the stability state of the unit is not negligible at the moment. The peak-to-peak value and the vibration stability of the frequency spectrum analysis unit are quality and quality differences, so that the research on the change of the frequency spectrum energy distribution structure in the mechanical vibration parameters in the rotation speed increasing process is significant for analyzing the mechanical vibration state. Therefore, the embodiment of the invention combines dynamic signal analysis and a data mining theory on the basis of realizing the evaluation of the mechanical vibration state of the hydroelectric generating set based on the data mining of the unit peak-to-peak value change trend, and further provides the evaluation method of the mechanical vibration state of the hydroelectric generating set based on the multivariate characteristic frequency energy ratio change trend.
In one embodiment, as shown in fig. 1, there is provided a method for evaluating mechanical vibration of a power plant based on frequency energy ratio, comprising the following steps:
102, constructing a multivariate characterization matrix of the mechanical vibration state of the unit with the spatial characteristics according to the order frequency characteristic parameters;
103, acquiring a health sample state matrix of the unit, calculating an average Euclidean distance between the health sample state matrix and the multivariate characterization matrix, and acquiring an expected value;
and 104, evaluating the energy structure change of the frequency component of the mechanical vibration according to the expected value.
Specifically, for the problem of real-time tracking and evaluation of the mechanical vibration state of the hydroelectric generating set, the evaluation research of the mechanical vibration state of the hydroelectric generating set based on the dynamic process data mining of the starting-up speed-rising is developed based on dynamic signal analysis, data mining and multivariate statistical analysis methods. Firstly, a mechanical vibration feature extraction and sample construction method based on a dynamic process of starting up and rotating speed is provided, so that the mechanical vibration feature order frequency feature extraction of the hydroelectric generating set is realized, and a mechanical vibration state sample of the hydroelectric generating set is established; secondly, a similarity measurement method in data mining is introduced, a hydroelectric generating set mechanical vibration state evaluation model based on a starting dynamic process is built, dynamic signal analysis, multivariate statistical analysis and similarity measurement methods are combined to make up for the defect that a peak-peak value cannot reflect the detail change of vibration energy in frequency domain distribution, and the hydroelectric generating set mechanical vibration state evaluation method based on data mining of multivariate characteristic order frequency energy ratio change trend is provided. By the aid of the assessment method, the machine set mechanical vibration state change trend assessment is achieved, potential safety hazards which may exist during early startup of the machine set are discovered, startup self-inspection is achieved, and guidance is provided for safe and stable operation of the machine set. In addition, the evaluation method effectively saves labor cost and improves evaluation efficiency.
In one embodiment, as shown in fig. 2, the process of acquiring initial parameters in mechanical vibration includes:
and 203, performing Fourier transform on the vibration angle domain stationary signal, and obtaining the order frequency characteristic parameter through order spectrum analysis.
Specifically, in the dynamic process of starting up and increasing the rotation speed of the hydroelectric generating set, if the set is in a variable rotation speed state and sampling is still performed at equal time intervals, a spectrum fuzzy phenomenon occurs, and vibration characteristic information cannot be accurately obtained. In order to obtain the vibration characteristic order frequency characteristics of the hydroelectric generating set in the dynamic speed increasing process, the present embodiment combines hardware order tracking and order analysis to construct a mechanical vibration order frequency characteristic extraction method for the dynamic speed increasing process of the hydroelectric generating set, and in the dynamic speed increasing process of the hydroelectric generating set, according to the rotation speed information measured by the key phase sensor, a frequency counter and a proportional synthesizer generate a signal proportional to the rotation speed of the hydroelectric generating set, so that the signal is used for setting the sampling frequency to synchronize with the rotation speed on one hand, and is used for dynamically setting the cut-off frequency of the tracking filter on the other hand, so as to prevent frequency aliasing. Therefore, the acquisition of the stable signals of the vibration angle domain is realized, namely the same vibration sampling points are acquired in the rotation period of each unit. And finally, carrying out Fourier transform on the stable signal of the vibration angle domain, and carrying out order spectrum analysis to obtain the order frequency characteristic parameters.
In one embodiment, as shown in fig. 3, the process of constructing the multivariate characterization matrix comprises:
and 303, acquiring the multivariate characterization matrix in the overall structure of the mechanical vibration state sample space through the variation trend characterization vector.
Specifically, a hydroelectric generating set mechanical vibration state sample based on a multivariate characteristic order frequency energy ratio change trend is constructed according to a mechanical vibration characteristic frequency amplitude extraction method in a set rotation speed increasing dynamic process. Based on the waveform data of the vibration equal-angle sampling signal in the process of increasing the rotating speed, the characteristics of each vibration stability parameter at the rotating speed are described by the extracted V characteristic order frequency energy ratio variables, and then the vibration stability parameter Xj multi-element characteristic order frequency energy ratio samples at any rotating speed in the dynamic process of increasing the rotating speed at startup are expressed as follows:
wherein t is 1,2, … N, which represents the rotation speed at a certain moment in the dynamic process of starting up; j ═ 1,2 … n, and represents different vibration stability parameters. Therefore, a characteristic vector of the multi-characteristic order frequency energy ratio change trend of the single vibration stability parameter in the dynamic process of the rising speed can be obtained:
n is the number of sample points in the process of increasing the rotating speed, V is the dimension of the stability parameter characteristic variable, and a sample point space of the stability parameter Xj in the dynamic process of increasing the rotating speed during starting is formed. For n units of vibration stability parameters, a plurality of stability parameters at different positions of the units are combined to form a multivariate characterization matrix of the mechanical vibration state of the units with spatial characteristics.
In one embodiment, as shown in FIG. 4, the calculation of the expected values of the state matrix includes:
and 403, obtaining an expected value of the health sample for constructing the state matrix according to the average Euclidean distance.
Specifically, the average Euclidean distance of each characteristic variable change trend in the mechanical vibration state monitoring sample matrix and the healthy sample state matrix is sequentially calculated, the average Euclidean distance of all the characteristic variables in the mechanical vibration state monitoring sample matrix and the healthy sample matrix is calculated, the expected value of the average Euclidean distance is obtained, and the mechanical vibration state index value based on the multivariate characteristic frequency energy ratio change trend is obtained. After the unit operates for a period of time, if the frequency component energy structure of the mechanical vibration monitoring sample is basically unchanged during the rotation speed increasing process of the unit, the distance between the mechanical vibration monitoring sample and the mechanical vibration state health sample is smaller; if the energy structure of the frequency component is changed obviously, the change is reflected in the overall distance of the sample. Thereby realizing mechanical vibration state evaluation considering the characteristics of the multi-frequency structure.
In one embodiment, as shown in fig. 5, the process of evaluating mechanical vibration by frequency energy comprises:
and 503, showing the energy structure change of the frequency component of the mechanical vibration according to the waveform change of the trend change chart, and finishing the mechanical vibration evaluation of the unit through the energy structure change.
Specifically, the comprehensive mechanical vibration state evaluation index value of the hydroelectric generating set of each mechanical vibration state monitoring sample based on the multivariate characteristic frequency energy ratio change trend is obtained through calculation, trend change graphs of the state index value in different mechanical vibration frequency states and the running date of the hydroelectric generating set are respectively described, and the final result shows that according to the trend change graphs, the mechanical vibration state of the hydroelectric generating set is relatively stable in long-term running history and the frequency spectrum energy distribution structure is relatively stable according to the comprehensive mechanical vibration evaluation index obtained through analysis of the multivariate frequency energy normalization ratio data. The overall analysis result shows that the mechanical vibration state of the unit has no obvious abnormality in the aspect of a frequency spectrum energy distribution structure, and the mechanical vibration state is better.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is provided a system for evaluating mechanical vibration of a power plant based on frequency energy ratio, including: a parameter construction module 601, a multivariate feature processing module 602, a data processing module 603, and an energy evaluation module 604, wherein:
the parameter construction module 601 is used for constructing a data extraction method of mechanical vibration in the change of the rotating speed of the unit and acquiring order frequency characteristic parameters from the extracted vibration data;
the multivariate feature processing module 602 is configured to construct a multivariate characterization matrix of the mechanical vibration state of the unit with the spatial features according to the order frequency feature parameters;
the data processing module 603 is configured to obtain a health sample state matrix of the unit, calculate an average euclidean distance between the health sample state matrix and the multivariate characterization matrix, and obtain an expected value;
an energy evaluation module 604 for evaluating a structural change of frequency component energy of the mechanical vibration according to the expected value.
In one embodiment, as shown in fig. 6, the parameter building module 601 includes a parameter acquiring unit 6011, where the parameter acquiring unit 6011 is configured to:
according to the rotating speed information measured by the key phase sensor, a vibration characteristic signal proportional to the rotating speed of the unit is obtained through a frequency counter and a proportional synthesizer;
processing the vibration characteristic signal through an analog tracking oscilloscope and a digital-to-analog converter to obtain a vibration angle domain stable signal;
and carrying out Fourier transform on the stable signal of the vibration angle domain, and obtaining the order frequency characteristic parameter through order spectrum analysis.
In one embodiment, as shown in fig. 6, the multivariate feature processing module 602 includes a multivariate matrix unit 6022, the multivariate matrix unit 6022 operable to:
sampling signal waveform data based on a vibration angle in a rotation speed change process, and describing a characteristic order frequency energy ratio of the order frequency characteristic parameter under a vibration stability parameter;
obtaining a variation trend characterization vector of the multi-element characteristic order frequency energy ratio according to the characteristic order frequency energy ratio;
and acquiring the multivariate characterization matrix in the overall structure of the mechanical vibration state sample space through the variation trend characterization vector.
In one embodiment, as shown in fig. 6, the data processing module 603 includes an index comparison unit 6031, and the index comparison unit 6031 is configured to:
selecting state monitoring data in the first startup rotating speed change process after the unit is overhauled to obtain a mechanical vibration multi-characteristic order frequency energy ratio change trend sample as a health sample;
constructing the state matrix according to the health sample, and calculating the average Euclidean distance between the state matrix and the multivariate characterization matrix;
and obtaining an expected value of the health sample for constructing the state matrix according to the average Euclidean distance.
In one embodiment, as shown in fig. 6, the energy evaluation module 604 includes a frequency energy analysis unit 6041, the frequency energy analysis unit 6041 is configured to:
obtaining a state index value based on the multi-element characteristic frequency energy ratio change trend according to the expected value;
respectively depicting trend change graphs of the state index values in different mechanical vibration frequency states and the unit operation date;
and displaying the energy structure change of the frequency components of the mechanical vibration according to the waveform change of the trend change chart, and finishing the mechanical vibration evaluation of the unit through the energy structure change.
For specific limitations of the mechanical vibration evaluation system of the power plant based on the frequency-energy ratio, reference may be made to the above limitations of the mechanical vibration evaluation method of the power plant based on the frequency-energy ratio, and details thereof are not repeated herein. The modules in the mechanical vibration evaluation system of the unit based on the frequency energy ratio can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A unit mechanical vibration evaluation method based on frequency energy ratio is characterized by comprising the following steps:
constructing a data extraction method of mechanical vibration in the change of the rotating speed of the unit, and acquiring order frequency characteristic parameters from the extracted vibration data;
constructing a multivariate characterization matrix of the mechanical vibration state of the unit with the spatial characteristics according to the order frequency characteristic parameters;
acquiring a health sample state matrix of the unit, calculating the average Euclidean distance between the health sample state matrix and the multivariate characterization matrix, and acquiring an expected value;
and evaluating the energy structure change of the frequency component of the mechanical vibration according to the expected value.
2. The method for evaluating the mechanical vibration of the unit based on the frequency energy ratio as claimed in claim 1, wherein the method for extracting the data of the mechanical vibration in the rotation speed change of the unit is constructed, and the step frequency characteristic parameters are obtained from the extracted vibration data, and comprises the following steps:
according to the rotating speed information measured by the key phase sensor, a vibration characteristic signal proportional to the rotating speed of the unit is obtained through a frequency counter and a proportional synthesizer;
processing the vibration characteristic signal through an analog tracking oscilloscope and a digital-to-analog converter to obtain a vibration angle domain stable signal;
and carrying out Fourier transform on the stable signal of the vibration angle domain, and obtaining the order frequency characteristic parameter through order spectrum analysis.
3. The method for evaluating the mechanical vibration of the unit based on the frequency-energy ratio as claimed in claim 1, wherein the constructing a multivariate characterization matrix of the mechanical vibration state of the unit with spatial features according to the order frequency feature parameters comprises:
sampling signal waveform data based on a vibration angle in a rotation speed change process, and describing a characteristic order frequency energy ratio of the order frequency characteristic parameter under a vibration stability parameter;
obtaining a variation trend characterization vector of the multi-element characteristic order frequency energy ratio according to the characteristic order frequency energy ratio;
and acquiring the multivariate characterization matrix in the overall structure of the mechanical vibration state sample space through the variation trend characterization vector.
4. The method for evaluating the mechanical vibration of the unit according to claim 1, wherein the step of obtaining a state matrix of a health sample of the unit, calculating an average euclidean distance between the state matrix of the health sample and the multivariate characterization matrix, and obtaining an expected value comprises:
selecting state monitoring data in the first startup rotating speed change process after the unit is overhauled to obtain a mechanical vibration multi-characteristic order frequency energy ratio change trend sample as a health sample;
constructing the state matrix according to the health sample, and calculating the average Euclidean distance between the state matrix and the multivariate characterization matrix;
and obtaining an expected value of the health sample for constructing the state matrix according to the average Euclidean distance.
5. The method for evaluating mechanical vibration of a power plant according to claim 1, wherein the evaluating the structural change of frequency component energy of the mechanical vibration according to the expected value comprises:
obtaining a state index value based on the multi-element characteristic frequency energy ratio change trend according to the expected value;
respectively depicting trend change graphs of the state index values in different mechanical vibration frequency states and the unit operation date;
and displaying the energy structure change of the frequency components of the mechanical vibration according to the waveform change of the trend change chart, and finishing the mechanical vibration evaluation of the unit through the energy structure change.
6. A unit mechanical vibration evaluation system based on frequency energy ratio is characterized by comprising:
the parameter construction module is used for constructing a data extraction method of mechanical vibration in the change of the rotating speed of the unit and acquiring order frequency characteristic parameters from the extracted vibration data;
the multivariate characteristic processing module is used for constructing a multivariate characterization matrix of the mechanical vibration state of the unit with the spatial characteristics according to the order frequency characteristic parameters;
the data processing module is used for acquiring a health sample state matrix of the unit, calculating the average Euclidean distance between the health sample state matrix and the multivariate characterization matrix, and acquiring an expected value;
and the energy evaluation module is used for evaluating the energy structure change of the frequency component of the mechanical vibration according to the expected value.
7. The system for evaluating mechanical vibration of a unit according to claim 6, wherein the parameter construction module comprises a parameter acquisition unit, and the parameter acquisition unit is configured to:
according to the rotating speed information measured by the key phase sensor, a vibration characteristic signal proportional to the rotating speed of the unit is obtained through a frequency counter and a proportional synthesizer;
processing the vibration characteristic signal through an analog tracking oscilloscope and a digital-to-analog converter to obtain a vibration angle domain stable signal;
and carrying out Fourier transform on the stable signal of the vibration angle domain, and obtaining the order frequency characteristic parameter through order spectrum analysis.
8. The system for evaluating mechanical vibration of a power generating unit according to claim 6, wherein the multivariate feature processing module comprises a multivariate matrix unit for:
sampling signal waveform data based on a vibration angle in a rotation speed change process, and describing a characteristic order frequency energy ratio of the order frequency characteristic parameter under a vibration stability parameter;
obtaining a variation trend characterization vector of the multi-element characteristic order frequency energy ratio according to the characteristic order frequency energy ratio;
and acquiring the multivariate characterization matrix in the overall structure of the mechanical vibration state sample space through the variation trend characterization vector.
9. The system for evaluating mechanical vibration of a power generating unit according to claim 6, wherein the data processing module comprises an index comparing unit, and the index comparing unit is configured to:
selecting state monitoring data in the first startup rotating speed change process after the unit is overhauled to obtain a mechanical vibration multi-characteristic order frequency energy ratio change trend sample as a health sample;
constructing the state matrix according to the health sample, and calculating the average Euclidean distance between the state matrix and the multivariate characterization matrix;
and obtaining an expected value of the health sample for constructing the state matrix according to the average Euclidean distance.
10. The system for evaluating mechanical vibration of a power generating unit according to claim 6, wherein the energy evaluation module comprises a frequency energy analysis unit for:
obtaining a state index value based on the multi-element characteristic frequency energy ratio change trend according to the expected value;
respectively depicting trend change graphs of the state index values in different mechanical vibration frequency states and the unit operation date;
and displaying the energy structure change of the frequency components of the mechanical vibration according to the waveform change of the trend change chart, and finishing the mechanical vibration evaluation of the unit through the energy structure change.
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| CN113762076A (en) * | 2021-07-29 | 2021-12-07 | 湖南五凌电力科技有限公司 | Method, device and equipment for extracting and constructing electromagnetic vibration state sample of hydroelectric generating set |
| CN113803201A (en) * | 2021-07-29 | 2021-12-17 | 湖南五凌电力科技有限公司 | Method, device and equipment for extracting and constructing mechanical vibration state sample of hydroelectric generating set |
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