CN113075546A - Motor vibration signal feature extraction method and system - Google Patents
Motor vibration signal feature extraction method and system Download PDFInfo
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- CN113075546A CN113075546A CN202110315560.6A CN202110315560A CN113075546A CN 113075546 A CN113075546 A CN 113075546A CN 202110315560 A CN202110315560 A CN 202110315560A CN 113075546 A CN113075546 A CN 113075546A
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- 238000007781 pre-processing Methods 0.000 claims abstract description 28
- 230000002159 abnormal effect Effects 0.000 claims abstract description 10
- 238000005070 sampling Methods 0.000 claims description 25
- 238000001228 spectrum Methods 0.000 claims description 10
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- 238000012549 training Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 description 5
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M7/00—Vibration-testing of structures; Shock-testing of structures
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Abstract
The invention discloses a method and a system for extracting characteristics of a motor vibration signal, wherein the method comprises the following steps: at least receiving a motor vibration original signal; preprocessing the motor vibration original signal to obtain a preprocessed signal, wherein the preprocessing operation is used for removing abnormal signals in the motor vibration original signal; and obtaining a vibration characteristic signal corresponding to the motor vibration original signal based on the preprocessed signal and a pre-constructed characteristic extraction model. The method for extracting the characteristics of the motor vibration signal obtains the corresponding vibration characteristic signal based on the preprocessed signal and the pre-constructed characteristic extraction model, can analyze the motor vibration original signal by utilizing the characteristic extraction model, automatically and directly obtains the vibration characteristic signal, solves the problem that the vibration characteristic is difficult to accurately extract in the prior art, improves the efficiency and the accuracy of extracting the vibration characteristic, is beneficial to comprehensively analyzing the vibration original signal, further monitors the state of the motor and diagnoses the fault of the motor.
Description
Technical Field
The invention relates to the technical field of motor diagnosis, in particular to a method and a system for extracting characteristics of a motor vibration signal.
Background
The motor state monitoring and fault diagnosis technology is a technology for knowing and mastering the state of a motor in the use process, determining the whole or local normality or abnormality of the motor, and finding out a fault and the cause of the fault. In the prior art, a state monitoring and diagnosing device based on an electrical characteristic analysis technology is used for measuring current and voltage signals of a motor during load operation, analyzing characteristics such as frequency spectrum, harmonic wave and electrical parameters, further detecting state changes of a bearing fault, an misalignment fault, a load fault, mechanical looseness, insulation and a series of electrical and mechanical faults, and further judging the fault of the whole transmission system.
However, in the conventional technical solution, the current state of the device is taken as a research focus, and the future development trend of the device cannot be predicted, and the health state of the device cannot be systematically managed. How to extract the characteristics of the vibration signal so as to comprehensively analyze the vibration signal is an important problem to be solved for monitoring the motor state and diagnosing the motor fault based on the motor data.
Therefore, a method and a system for extracting characteristics of a motor vibration signal are needed.
Disclosure of Invention
The invention aims to provide a method and a system for extracting characteristics of a motor vibration signal, which are used for solving the problems in the prior art, can extract vibration characteristics in a vibration original signal and are beneficial to comprehensively analyzing the vibration original signal.
The invention provides a method for extracting characteristics of a motor vibration signal, which comprises the following steps:
at least receiving a motor vibration original signal;
preprocessing the motor vibration original signal to obtain a preprocessed signal, wherein the preprocessing operation is used for removing abnormal signals in the motor vibration original signal;
and obtaining a vibration characteristic signal corresponding to the motor vibration original signal based on the preprocessed signal and a pre-constructed characteristic extraction model.
The method for extracting characteristics of a motor vibration signal as described above, wherein preferably, the receiving at least a motor vibration raw signal specifically includes:
receiving a vibration original signal and a sampling signal.
The method for extracting characteristics of a motor vibration signal as described above, wherein preferably, the vibration raw signal includes vibration acceleration data, and the sampling signal includes a sampling frequency, a sampling time length, and a sampling temperature.
The method for extracting characteristics of a motor vibration signal as described above, wherein preferably, the performing a preprocessing operation on the motor vibration raw signal to obtain a preprocessed signal specifically includes:
removing null values and abnormal values in the original vibration signal to obtain an effective original vibration signal;
and carrying out data alignment on the effective vibration original signal to obtain the preprocessing signal.
The method for extracting the feature of the motor vibration signal as described above, wherein preferably, the obtaining a vibration feature signal corresponding to the motor vibration original signal based on the preprocessed signal and a pre-constructed feature extraction model specifically includes:
and inputting the preprocessed signal and the sampling signal into a pre-constructed feature extraction model to obtain a vibration feature signal corresponding to the motor vibration original signal.
In the method for extracting a feature of a motor vibration signal, it is preferable that the feature extraction model is constructed in a manner including: and training by using a large number of unsupervised motor vibration original signals, sampling signals and corresponding vibration characteristic signals.
The method for extracting the feature of the motor vibration signal as described above, wherein the vibration feature signal preferably includes: time stamp, temperature, vibration time domain characteristic index and vibration frequency domain characteristic index.
The method for extracting characteristics of a motor vibration signal as described above, wherein the vibration time domain characteristic indicators output by the characteristic extraction model preferably include effective values, skewness indicators, variance, margin factors, crest factors, kurtosis indicators, and pulse factors,
the vibration frequency domain characteristic indexes output by the characteristic extraction model comprise a spectrum variance, a spectrum mean value and a spectrum effective value.
The method for extracting the feature of the motor vibration signal as described above, preferably, the method further includes:
and outputting the vibration characteristic signals output by the characteristic extraction model through respective channels.
The invention also provides a system for extracting the characteristics of the motor vibration signal by adopting the method, which comprises the following steps:
the data acquisition module is used for acquiring a motor vibration original signal and a sampling signal;
the data preprocessing module is used for preprocessing the motor vibration original signal to obtain a preprocessed signal, wherein the preprocessing operation is used for removing an abnormal signal in the motor vibration original signal;
and the characteristic extraction module is used for inputting the preprocessing signal and the sampling signal into a pre-constructed characteristic extraction model to obtain a vibration characteristic signal corresponding to the motor vibration original signal.
The invention provides a method and a system for extracting characteristics of a motor vibration signal, which are used for preprocessing an original motor vibration signal to obtain a preprocessed signal, obtaining a corresponding vibration characteristic signal based on the preprocessed signal and a pre-constructed characteristic extraction model, analyzing the original motor vibration signal by using the characteristic extraction model, automatically and directly obtaining the vibration characteristic signal, solving the problem that the vibration characteristic is difficult to accurately extract in the prior art, improving the efficiency and the accuracy of extracting the vibration characteristic, facilitating the comprehensive analysis of the original vibration signal, further monitoring the state of a motor and diagnosing the fault of the motor.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described with reference to the accompanying drawings, in which:
fig. 1 is a flowchart of an embodiment of a method for extracting characteristics of a motor vibration signal according to the present invention;
fig. 2 is a block diagram of a structure of an embodiment of a system for extracting characteristics of a motor vibration signal according to the present invention.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the disclosure, its application, or uses. The present disclosure may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that: the relative arrangement of parts and steps, the composition of materials, numerical expressions and numerical values set forth in these embodiments are to be construed as merely illustrative, and not as limitative, unless specifically stated otherwise.
As used in this disclosure, "first", "second": and the like, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element preceding the word covers the element listed after the word, and does not exclude the possibility that other elements are also covered. "upper", "lower", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
In the present disclosure, when a specific component is described as being located between a first component and a second component, there may or may not be intervening components between the specific component and the first component or the second component. When it is described that a specific component is connected to other components, the specific component may be directly connected to the other components without having an intervening component, or may be directly connected to the other components without having an intervening component.
All terms (including technical or scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs unless specifically defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
Since there are multiple vibration sources in the mechanical device, a chaotic morphology is present when these multiple vibration sources are mixed together and converted into a wave by the sensor. The fundamental approach for analyzing the vibration signal is to perform feature extraction by various methods. The rotating equipment in smooth running generates vibration signals no matter how many vibration sources exist, and the vibration signals are forced vibration signals related to the rotating speed and periodic signals. In view of this, the present invention obtains a corresponding vibration characteristic signal based on the motor vibration original signal.
As shown in fig. 1, in an actual implementation process, the method for extracting a feature of a motor vibration signal provided in this embodiment specifically includes the following steps:
and step S1, at least receiving a motor vibration original signal.
In an embodiment of the method for extracting characteristics of a motor vibration signal according to the present invention, the step S1 may specifically include: receiving a vibration original signal and a sampling signal. The vibration original signal comprises vibration acceleration data, and the sampling signal comprises sampling frequency, sampling duration and sampling temperature.
And step S2, performing preprocessing operation on the motor vibration original signal to obtain a preprocessed signal, wherein the preprocessing operation is used for removing abnormal signals in the motor vibration original signal.
After the motor vibration original signal is subjected to preprocessing operation, subsequent processing is convenient to perform, and the reliability of the finally obtained vibration characteristic signal is improved. In an embodiment of the method for extracting characteristics of a motor vibration signal according to the present invention, the step S2 may specifically include:
and step S21, eliminating null values and abnormal values in the vibration original signal to obtain an effective vibration original signal.
And step S22, performing data alignment on the effective vibration original signal to obtain the preprocessing signal.
And step S3, obtaining a vibration characteristic signal corresponding to the motor vibration original signal based on the preprocessed signal and a pre-constructed characteristic extraction model.
The construction mode of the feature extraction model comprises the following steps: and training by using a large number of unsupervised motor vibration original signals, sampling signals and corresponding vibration characteristic signals. In a specific implementation, the preprocessed signal and the sampled signal may be input into a pre-constructed feature extraction model to obtain a vibration feature signal corresponding to the motor vibration original signal.
Further, the vibration characteristic signal includes: time stamp, temperature, vibration time domain characteristic index and vibration frequency domain characteristic index. The vibration time domain characteristic index is generally used for reflecting the equipment state, and is used for fault monitoring and trend prediction; the vibration frequency domain characteristic index is generally used for diagnosing fault types, reasons and positions. Specifically, the vibration time domain feature indicators output by the feature extraction model include effective values, skewness indicators, variances, margin factors, crest factors, kurtosis indicators, and pulse factors. The vibration frequency domain characteristic indexes output by the characteristic extraction model comprise a spectrum variance, a spectrum mean value and a spectrum effective value.
Further, the method for extracting the characteristics of the motor vibration signal further includes:
in step S4, the vibration feature signals output from the feature extraction model are output via respective channels.
According to the method for extracting the characteristics of the motor vibration signals, provided by the embodiment of the invention, the motor vibration original signals are preprocessed to obtain the preprocessed signals, the corresponding vibration characteristic signals are obtained based on the preprocessed signals and the pre-constructed characteristic extraction model, the motor vibration original signals can be analyzed by using the characteristic extraction model, the vibration characteristic signals are automatically and directly obtained, the defect that the vibration characteristics are difficult to accurately extract in the prior art is overcome, the efficiency and the accuracy of extracting the vibration characteristics are improved, the comprehensive analysis of the vibration original signals is facilitated, the motor state is further monitored, and the motor faults are diagnosed.
Accordingly, as shown in fig. 2, the present invention further provides a system for extracting characteristics of a vibration signal of a motor, including:
the data acquisition module 1 is used for acquiring a motor vibration original signal and a sampling signal;
the data preprocessing module 2 is configured to perform preprocessing operation on the motor vibration original signal to obtain a preprocessed signal, where the preprocessing operation is used to remove an abnormal signal in the motor vibration original signal;
and the feature extraction module 3 is configured to input the preprocessed signal and the sampled signal into a pre-constructed feature extraction model to obtain a vibration feature signal corresponding to the motor vibration original signal.
According to the feature extraction system for the motor vibration signal, provided by the embodiment of the invention, the data preprocessing module is used for preprocessing the motor vibration original signal to obtain the preprocessed signal, the feature extraction module is used for extracting the corresponding vibration feature signal based on the preprocessed signal and the pre-constructed feature extraction model, the feature extraction model can be used for analyzing the motor vibration original signal to automatically and directly obtain the vibration feature signal, the defect that the vibration feature is difficult to accurately extract in the prior art is overcome, the efficiency and the accuracy of extracting the vibration feature are improved, the comprehensive analysis of the vibration original signal is facilitated, the motor state is further monitored, and the motor fault is diagnosed.
It should be understood that the division of the components of the feature extraction system for motor vibration signals shown in fig. 2 is merely a logical division, and the actual implementation may be wholly or partially integrated into one physical entity or physically separated. And these components may all be implemented in software invoked by a processing element; or may be implemented entirely in hardware; and part of the components can be realized in the form of calling by the processing element in software, and part of the components can be realized in the form of hardware. For example, a certain module may be a separate processing element, or may be integrated into a certain chip of the electronic device. Other components are implemented similarly. In addition, all or part of the components can be integrated together or can be independently realized. In implementation, each step of the above method or each component above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
Thus, various embodiments of the present disclosure have been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be understood by those skilled in the art that various changes may be made in the above embodiments or equivalents may be substituted for elements thereof without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (10)
1. A method for extracting characteristics of a motor vibration signal is characterized by comprising the following steps:
at least receiving a motor vibration original signal;
preprocessing the motor vibration original signal to obtain a preprocessed signal, wherein the preprocessing operation is used for removing abnormal signals in the motor vibration original signal;
and obtaining a vibration characteristic signal corresponding to the motor vibration original signal based on the preprocessed signal and a pre-constructed characteristic extraction model.
2. The method for extracting features of a motor vibration signal according to claim 1, wherein the receiving at least a motor vibration raw signal specifically includes:
receiving a vibration original signal and a sampling signal.
3. The method of extracting characteristics of a motor vibration signal according to claim 2, wherein the vibration raw signal includes vibration acceleration data, and the sampling signal includes a sampling frequency, a sampling time length, and a sampling temperature.
4. The method for extracting features of a motor vibration signal according to claim 2, wherein the pre-processing the motor vibration raw signal to obtain a pre-processed signal specifically comprises:
removing null values and abnormal values in the original vibration signal to obtain an effective original vibration signal;
and carrying out data alignment on the effective vibration original signal to obtain the preprocessing signal.
5. The method for extracting features of a motor vibration signal according to claim 2, wherein the obtaining of the vibration feature signal corresponding to the motor vibration original signal based on the preprocessed signal and a pre-constructed feature extraction model specifically includes:
and inputting the preprocessed signal and the sampling signal into a pre-constructed feature extraction model to obtain a vibration feature signal corresponding to the motor vibration original signal.
6. The method of extracting features of a motor vibration signal according to claim 5, wherein the feature extraction model is constructed in a manner including: and training by using a large number of unsupervised motor vibration original signals, sampling signals and corresponding vibration characteristic signals.
7. The method of extracting a feature of a motor vibration signal according to claim 5, wherein the vibration feature signal includes: time stamp, temperature, vibration time domain characteristic index and vibration frequency domain characteristic index.
8. The method of extracting characteristics of a motor vibration signal according to claim 7, wherein the vibration time domain characteristic indicators output by the characteristic extraction model include effective value, skewness indicator, variance, margin factor, crest factor, kurtosis indicator, and pulse factor,
the vibration frequency domain characteristic indexes output by the characteristic extraction model comprise a spectrum variance, a spectrum mean value and a spectrum effective value.
9. The method of extracting a feature of a motor vibration signal according to claim 7, further comprising:
and outputting the vibration characteristic signals output by the characteristic extraction model through respective channels.
10. A system for extracting characteristics of a vibration signal of an electric machine using the method according to any one of claims 1 to 9, comprising:
the data acquisition module is used for acquiring a motor vibration original signal and a sampling signal;
the data preprocessing module is used for preprocessing the motor vibration original signal to obtain a preprocessed signal, wherein the preprocessing operation is used for removing an abnormal signal in the motor vibration original signal;
and the characteristic extraction module is used for inputting the preprocessing signal and the sampling signal into a pre-constructed characteristic extraction model to obtain a vibration characteristic signal corresponding to the motor vibration original signal.
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