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EMD (Empirical Mode Decomposition), spectral kurtosis and smooth iteration envelopment analysis method of antifriction bearing

A rolling bearing and envelope analysis technology, applied in the field of rotating machinery condition monitoring and fault diagnosis, can solve problems such as low technical accuracy, misjudgment, and low analysis accuracy

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; ③The envelope spectrum obtained by traditional methods has endpoint effects

Method used

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  • EMD (Empirical Mode Decomposition), spectral kurtosis and smooth iteration envelopment analysis method of antifriction bearing
  • EMD (Empirical Mode Decomposition), spectral kurtosis and smooth iteration envelopment analysis method of antifriction bearing
  • EMD (Empirical Mode Decomposition), spectral kurtosis and smooth iteration envelopment analysis method of antifriction bearing

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Embodiment Construction

[0088] Examples such as figure 1 , figure 2 , image 3 As shown, a rolling bearing EMD, spectral kurtosis and smooth iterative envelope analysis method is characterized by comprising the following steps:

[0089] Step 1: Use the acceleration sensor to measure the vibration signal x(k), (k=1, 2,...,N) of the rolling bearing at the sampling frequency fs, where N is the length of the sampling signal;

[0090] Step 2: Use Empirical Mode Decomposition (EMD) algorithm to decompose the signal x(k) into the sum of n components and a trend term, 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;

[0091] Step 3: Correct c i (K) Perform rearrangement operations and substitution operations, and use c for the data obtained through rearrangement operations i shuffle (K) means that the data obtained after the substitution operation is c i FTran (K) means;

[0092] Step 4: Correct c i (K), c i shuffl...

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Abstract

The invention discloses an EMD (Empirical Mode Decomposition), spectral kurtosis and smooth iteration envelopment analysis method of an antifriction bearing. The method firstly utilizes an EMD method to decompose an original signal, then utilizes data rearrangement and substitution operations to eliminate a noise component and a trend item in a decomposition result, then analyzes a signal after first filtering using the spectral kurtosis method so as to obtain the central frequency and the bandwidth of an optimal filter, then utilizes the filter to perform second filtering of the signal after the first filtering, then uses the smooth iteration envelopment analysis method to perform envelopment analysis of a signal after second filtering, and finally determines the fault type of the antifriction bearing according to an envelopment spectrum. The invention is suitable for processing a complex antifriction bearing fault signal, can accurately determine the fault type of the antifriction bearing, has good anti-noise properties and robustness, and is convenient for engineering application.

Description

Technical field [0001] The invention relates to the field of state monitoring and fault diagnosis of rotating machinery, in particular to a rolling bearing EMD, spectral kurtosis and smooth iterative envelope analysis method. Background technique [0002] Envelope analysis technology 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 performs simple filtering on the original signal before analyzing, so the existing method It is easy to be interfered 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 the signal to be analyzed to be single-component Narrowband signal, otherwise the frequency modulation part of the signal will contaminate...

Claims

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Application Information

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