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Envelopment analysis method based on singular spectrum decomposition filtering

A singular spectrum decomposition and envelope analysis technology, which is applied in the testing of mechanical components, testing of machine/structural components, measuring devices, etc., can solve the problems of low analysis accuracy, envelope spectrum end effect, and low technical accuracy

Inactive Publication Date: 2016-09-21
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 The method is easily disturbed by noise, trend and other components, resulting in low analysis accuracy of the existing technology; (2) The existing envelope analysis technology is based on the Hilbert transform, and the Hilbert transform requires that the signal to be analyzed must be It is a single-component narrow-band signal, 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 narrow-band, which will lead to the accuracy of the existing technology. (3) The envelope spectrum obtained by the traditional method has endpoint effect

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  • Envelopment analysis method based on singular spectrum decomposition filtering
  • Envelopment analysis method based on singular spectrum decomposition filtering
  • Envelopment analysis method based on singular spectrum decomposition filtering

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Embodiment Construction

[0073] Examples such as figure 1 , figure 2 , image 3 As shown, an envelope analysis method based on singular spectral decomposition filtering, including the following steps:

[0074] 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;

[0075] Step 2: Use the Singular Spectrum Decomposition (Singular Spectrum Decomposition) algorithm to decompose the signal x(k) into the sum of n components, namely , where c i (k) represents the i-th component obtained by the singular spectrum decomposition algorithm. The singular spectrum decomposition is known, see the literature

[0076] P. Bonizzi, J.M. KAREL, O. Meste, R.L. Peeters, Singular spectrum decomposition: A new method for time series decomposition, Advances in Adaptive Data Analysis, 2014, 6 (4): 1-29;

[0077] Step 3: to c i (k) Perform the rearrangement operation and replacement ...

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Abstract

The invention discloses an envelopment analysis method based on singular spectrum decomposition filtering. The envelopment analysis method comprises the steps of: decomposing an original signal by utilizing a singular spectrum decomposition method; eliminating noise component and a trend term in a decomposition result by utilizing data rearrangement and substitution operation; analyzing the signal after first filtering by adopting a spectral kurtosis method to obtain a center frequency and bandwidth of an optimal filter; utilizing the optimal filter to carry out secondary filtering on the signal after first filtering; carrying out envelopment analysis on the signal after secondary filtering by adopting a rational spline iteration smooth envelopment analysis method; and determining a fault type of a rotary machine according to an envelope spectrum. The envelopment analysis method is suitable for processing complicated fault signals of the rotary machine, can determine the fault type of the rotary machine accurately, has good noise immunity 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 an envelope analysis method based on singular spectrum decomposition filtering. 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 The method is easily disturbed by noise, trend and other components, resulting in low analysis accuracy of the existing technology; (2) The existing envelope analysis technology is based on the Hilbert transform, and the Hilbert transform requires that the signal to be analyzed must It is a single-component narrow-band signal, otherwise the frequency modulation part of the signal will pollute the amp...

Claims

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Application Information

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IPC IPC(8): G01M13/02G01M13/04
CPCG01M13/028G01M13/045
Inventor 林近山窦春红
Owner WEIFANG UNIVERSITY
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