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Envelope analysis method based on empirical mode decomposition and spectral kurtosis

A technique of empirical mode decomposition and envelope analysis, which is applied in the field of envelope analysis based on empirical mode decomposition and spectral kurtosis, and can solve the problems of low technical accuracy, low analysis accuracy, and misjudgment.

Inactive Publication Date: 2016-12-07
WEIFANG UNIVERSITY
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Problems solved by technology

The existing envelope analysis technology has the following three defects: ① The existing envelope analysis technology either directly analyzes the original signal, or only analyzes the original signal after simple filtering, so the existing method It is easily disturbed by noise, trend and other components, resulting in low analysis accuracy of the existing technology; ②The existing envelope analysis technology is based on the Hilbert transform, and the Hilbert transform requires that the signal to be analyzed must be a single component Narrowband signals, otherwise the frequency modulation part of the signal will pollute the amplitude envelope analysis results of the signal, but the current signals to be analyzed do not strictly meet the conditions of single component and narrowband, which will lead to the existing technology is easy to The problem of misjudgment occurs; ③ The envelope spectrum obtained by traditional methods has endpoint effects

Method used

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  • Envelope analysis method based on empirical mode decomposition and spectral kurtosis
  • Envelope analysis method based on empirical mode decomposition and spectral kurtosis
  • Envelope analysis method based on empirical mode decomposition and spectral kurtosis

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Embodiment Construction

[0075] Examples such as figure 1 , figure 2 , image 3 As shown, an envelope analysis method based on empirical mode decomposition and spectral kurtosis includes the following steps:

[0076] Step 1: Use the acceleration sensor to measure the vibration signal x(k), (k=1, 2,...,N) of the rotating machinery at the sampling frequency fs, where N is the length of the sampling signal;

[0077] Step 2: Use the Empirical Mode Decomposition (EMD) algorithm to decompose the signal x(k) into the sum of n components and a trend item, namely , where c i (k) represents the i-th component obtained by the EMD algorithm, r n (k) represents the trend item obtained by the EMD algorithm;

[0078] Step 3: to c i (k) Perform the rearrangement operation and replacement operation, and the data obtained by the rearrangement operation is represented by c i shuffle (k) indicates that the data obtained after the substitution operation is c i FTran (k) means;

[0079] Step 4: to c i (k), c ...

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Abstract

The invention discloses an envelope analysis method based on empirical mode decomposition and spectral kurtosis. The method comprises the steps of firstly decomposing an original signal by using an empirical mode decomposition method; then, eliminating a noise component and a trend term in the decomposition result using the data rearrangement and substitution operation; next, analyzing, by using a spectral kurtosis method, the signal filtered for the first time to obtain the center frequency and bandwidth of an optimal filter; then, filtering, for the second time, the signal filtered for the first time by using the filter; afterwards, conducting an envelope analysis of the signal filtered for the second time by using a cubic spline iterative smoothing envelope analysis method; and finally, determining the fault type of a rotary machine according to the envelope spectrum. The invention is suitable for dealing with complex rotary machine fault signals, can accurately determine the fault type of the rotating machine, has good noise immunity and robustness, and facilitates engineering application.

Description

technical field [0001] The invention relates to the field of state monitoring and fault diagnosis of rotating machinery, in particular to an envelope analysis method based on empirical mode decomposition and spectrum kurtosis. Background technique [0002] Envelope analysis technique is widely used in fault diagnosis of gears and rolling bearings. The existing envelope analysis technology has the following three defects: ① The existing envelope analysis technology either directly analyzes the original signal, or only analyzes the original signal after simple filtering, so the existing method It is easily disturbed by noise, trend and other components, resulting in low analysis accuracy of the existing technology; ②The existing envelope analysis technology is based on the Hilbert transform, and the Hilbert transform requires that the signal to be analyzed must be a single component Narrowband signals, otherwise the frequency modulation part of the signal will pollute the amp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04
CPCG01M13/045
Inventor 林近山窦春红
Owner WEIFANG UNIVERSITY
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