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An Adaptive Feature Extraction Method for Weak Faults of Electromechanical Equipment

A technology of fault characteristics and extraction methods, applied in the direction of measuring devices, testing of mechanical components, testing of machine/structural components, etc., to achieve the effects of reducing boundary distortion, improving properties, and avoiding phase distortion

Active Publication Date: 2020-01-10
GUILIN UNIV OF ELECTRONIC TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The present invention aims to solve the problem of feature extraction of weak faults of electromechanical equipment, and provides a method for extracting weak fault features of adaptive electromechanical equipment

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  • An Adaptive Feature Extraction Method for Weak Faults of Electromechanical Equipment
  • An Adaptive Feature Extraction Method for Weak Faults of Electromechanical Equipment
  • An Adaptive Feature Extraction Method for Weak Faults of Electromechanical Equipment

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Embodiment Construction

[0025] The present invention is based on the two-scale similarity transformation of multi-wavelets and the symmetrical lifting framework. It first collects vibration signals during the operation of mechanical equipment through vibration acceleration sensors; The approximation order of the function; then design the multi-wavelet lifting matrix that satisfies the symmetry condition to ensure the linear phase characteristics of the filter of the multi-wavelet basis function, avoid the phase distortion during signal decomposition and reconstruction and improve the boundary processing ability; by studying the similarity between the two scales Transformation and symmetric lifting frame multi-wavelet integration construction algorithm, design a multi-parameterized two-scale similar transformation control matrix and multi-wavelet symmetric lifting matrix that meet the constraints, and realize the multi-wavelet integration construction method; finally, based on the vibration signal, use ...

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Abstract

The invention discloses an adaptive electromechanical equipment weak fault characteristic extraction method. The method comprises steps that firstly, vibration signals of electromechanical equipment are acquired; secondly, two-scale similarity transformation of selected initial multi-wavelets is carried out to improve the approximation order of a multi-wavelet scale function; thirdly, a multi-wavelet lifting matrix satisfying symmetry and translation constraint conditions is designed, and a multi-wavelet integration construction method is realized; and lastly, based on the vibration signals, agenetic algorithm is utilized to optimize free parameters, an adaptive multi-wavelet base function matching with fault characteristics is acquired, and an advantageous method is provided for weak fault characteristic extraction. The method is advantaged in that the dynamic matching bottleneck in the weak fault characteristic extraction process in the actual monitoring and diagnostic application of the electromechanical equipment is solved.

Description

technical field [0001] The invention relates to the technical field of fault detection of electromechanical equipment, in particular to a method for extracting weak fault features of adaptive electromechanical equipment. Background technique [0002] Bearings, gears and rotors are the most common and important components of electromechanical equipment, and the failure of any one of their components will most likely lead to major economic losses and serious safety accidents. In order to avoid accidents, signal processing methods based on vibration signals are widely used in health monitoring and fault diagnosis of electromechanical equipment, such as spectrum analysis and envelope spectrum analysis. However, in the early stage of the fault, the signal features are very weak and non-stationary, which is submerged by multiple interference sources and strong noise in the electromechanical system, and the signal-to-noise ratio is low, which brings great difficulties to feature ex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/00G01M13/028G01M13/045
CPCG01M13/00G01M13/028G01M13/045
Inventor 何水龙李慧王衍学蒋占四訾艳阳
Owner GUILIN UNIV OF ELECTRONIC TECH
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