A rotary machine fault feature extraction method based on time-frequency spectrum correlation analysis

A correlation analysis and rotating machinery technology, applied in the testing of mechanical components, computer components, machine/structural components, etc., can solve the problem of inability to reduce noise, difficulty in effectively extracting fault characteristic frequencies, and unintuitive regularity of impact characteristics Display and other problems to achieve the effect of removing noise and other interference signals and removing influence

Active Publication Date: 2019-06-28
ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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Problems solved by technology

However, the time-frequency analysis method of the vibration signal itself cannot reduce the noise. For the fault vibration signal of the rotating mechanical equipment with a low signal-to-noise ratio, only a few shock features with high energy are often highlighted in

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  • A rotary machine fault feature extraction method based on time-frequency spectrum correlation analysis
  • A rotary machine fault feature extraction method based on time-frequency spectrum correlation analysis
  • A rotary machine fault feature extraction method based on time-frequency spectrum correlation analysis

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[0030] The present invention will be further described below with reference to the drawings and embodiments.

[0031] Reference figure 1 , The method for extracting fault features of rotating machinery based on time-frequency correlation analysis includes the following steps:

[0032] (1) Collect a set of vibration acceleration signals x(n) of length L on the rotating machinery and equipment, where n=0,1,...,L-1;

[0033] (2) Perform time-frequency transformation on the signal x(n) to obtain the time-frequency spectrum TFD(l,k), where time l=0,1,...,L-1, frequency k=0,1,...,L / 2 -1;

[0034] (3) Select two time-frequency points (l, k) in the time-frequency spectrum TFD(l,k) 1 ,k 1 ), (l 2 ,k 2 ) To select an impact feature I(i,j), where time i=0,1,...,l 2 -l 1 , Frequency j=0,1,...,k 2 -k 1 ; The time-frequency block where the impact feature I(i,j) is located is TFD(l o ,k o ), that is, I(i,j)=TFD(l o ,k o ), where time l o = L 1 ,l 1 +1,…,l 2 , Frequency k o =k 1 ,k 1 +1,...,k 2 ;

[...

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Abstract

The rotary machine fault feature extraction method based on time-frequency spectrum correlation analysis comprises the following steps: firstly, collecting a group of vibration signals on rotary machine equipment, and carrying out time-frequency transformation on the vibration signals to obtain a time-frequency spectrum; secondly, selecting an impact feature in the time-frequency spectrum, enabling the impact feature to perform point-by-point translation along a time axis from the initial time of the time-frequency spectrum, continuously masking a time-frequency block in the time-frequency spectrum, calculating a correlation coefficient between the impact feature and the masked time-frequency block, and obtaining a correlation coefficient sequence after translation is finished; finally, performing Fourier transform on the correlation coefficient sequence, and extracting the fault characteristic frequency from the frequency spectrum. The obtained correlation coefficient sequence curvecan visually display the change rule of the impact characteristic in the vibration signal of the rotary mechanical equipment, and the influence of noise and other interference signals is greatly removed; and the frequency spectrum of the correlation coefficient sequence can effectively and conveniently extract the fault characteristic frequency for fault diagnosis of the rotary mechanical equipment.

Description

technical field [0001] The invention relates to a method for extracting fault features of rotating machinery based on time-frequency spectrum correlation analysis. Background technique [0002] Regular shock vibration is a typical feature of fault damage to internal components of rotating machinery, and the frequency of this shock feature is directly related to the specific fault state of rotating machinery. However, due to the fact that there are usually many components in the equipment, there is a certain attenuation in the process of transmitting the fault impact characteristics from the vibration source of the fault damage to the equipment surface along a complex path. In addition, other moving elements in the equipment will also excite corresponding vibrations. Coupled with the interference of working environment noise, the fault impact characteristics that vibration sensors can measure on the equipment are usually relatively weak, especially in the early stage of equip...

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Application Information

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IPC IPC(8): G06K9/00G06F17/14G01M13/00G01H17/00
Inventor 郭远晶杨友东林森宋士刚
Owner ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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