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Mechanical vibration signal feature extraction method based on variational mode decomposition and grey correlation analysis

A technology of gray relational analysis and variational mode decomposition, which is applied in pattern recognition in signals, computer parts, characters and pattern recognition, etc., can solve problems such as vibration signal pollution, interference signal feature extraction, signal doping noise, etc. , to achieve the effect of eliminating noise interference

Active Publication Date: 2020-08-14
CHONGQING UNIV
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Problems solved by technology

Vibration signals are widely used in the evaluation and analysis of mechanical systems due to their characteristics of easy acquisition and strong structural correlation. The extraction of features, which in turn leads to the inability to accurately assess the state of the mechanical system

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  • Mechanical vibration signal feature extraction method based on variational mode decomposition and grey correlation analysis
  • Mechanical vibration signal feature extraction method based on variational mode decomposition and grey correlation analysis
  • Mechanical vibration signal feature extraction method based on variational mode decomposition and grey correlation analysis

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Embodiment Construction

[0056] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0057] In this embodiment, the mechanical vibration signal feature extraction method based on variational mode decomposition and gray relational analysis comprises the following steps:

[0058] Step 1, since EMD is a traditional signal decomposition method, and its modal number is adaptive, so this embodiment first decomposes the original signal by EMD to obtain the EMD modal number K', and then [K'- 3, K′+3] as the initial value range of the number of VMD modes K, within which the number of VMD modes K is given different values, and VMD decomposition is performed on the original vibration signal respectively.

[0059] The decomposition principle of VMD is as follows:

[0060] (1) In order to determine the mode u after VMD decomposition k and its corresponding center frequency ω k , it is necessary to construct a constrained variational prob...

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Abstract

In the field of machinery, vibration signal feature extraction is of great significance to state recognition, fault diagnosis and other problems, but vibration signals are inevitably interfered by noise in the acquisition process, so that signal features are difficult to extract. The invention discloses a mechanical vibration signal feature extraction method based on variational mode decompositionand grey correlation analysis, and the method comprises the steps: decomposing a vibration signal into a plurality of modes through VMD, and determining the number K of important preset parameter modes of the VMD through grey correlation analysis; after VMD decomposition, selecting the noise dominant modes again through grey correlation analysis, and conducting soft threshold processing on the noise dominant modes to remove noise components in the noise dominant modes; and reconstructing the processed noise dominant mode and other modes to obtain a denoised vibration signal, and further extracting signal features. According to the invention, the technical problems of mechanical vibration signal noise reduction and feature extraction are effectively solved.

Description

technical field [0001] The invention relates to the technical field of state monitoring and fault diagnosis of CNC machine tools, in particular to a method for extracting mechanical vibration signal features. Background technique [0002] In the field of machinery, state detection and fault diagnosis are one of the core technologies that need to be overcome in the process of intelligent development of CNC machine tools. Vibration signals are widely used in the evaluation and analysis of mechanical systems due to their characteristics of easy acquisition and strong structural correlation. The extraction of features leads to the inability to accurately assess the state of the mechanical system. Therefore, denoising the vibration signal is of great significance for extracting the characteristics of the vibration signal and improving the accuracy of the mechanical system evaluation. [0003] Variational mode decomposition (VMD) is a signal processing technology proposed in 201...

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Application Information

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IPC IPC(8): G06K9/00G01H17/00
CPCG01H17/00G06F2218/04G06F2218/08Y02T90/00
Inventor 李国龙贾亚超董鑫
Owner CHONGQING UNIV
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