A Sparse Representation Method for Mechanical Faults Based on Wolves Parameterized Joint Dictionary

A technology for mechanical faults and sparse representation, which is applied in the testing of mechanical bearings, testing of mechanical components, computer components, etc. It can solve the problems of poor accurate identification of mechanical fault characteristic fault types, difficulty in meeting production requirements, etc., and improve computing efficiency. The effect of precision and precise diagnosis

Active Publication Date: 2022-05-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] At present, the Gabor atomic orthogonal matching pursuit (OMP) method based on the genetic algorithm reconstructs the signal, and the extraction of mechanical fault features and the accurate identification of fault types are poor, and it is increasingly difficult to meet today's production requirements.

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  • A Sparse Representation Method for Mechanical Faults Based on Wolves Parameterized Joint Dictionary
  • A Sparse Representation Method for Mechanical Faults Based on Wolves Parameterized Joint Dictionary
  • A Sparse Representation Method for Mechanical Faults Based on Wolves Parameterized Joint Dictionary

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0041] In this embodiment, a composite atom dictionary is constructed according to the characteristics of mechanical fault vibration signals, the GWO optimization algorithm is integrated into the OMP method, and the atom that best matches the residual signal is adaptively obtained in the dictionary through the GWO optimization algorithm, and the obtained atom pairs are used to signal Reconstruction is carried out, and then envelope analysis is performed on the reconstructed signal, so as to realize accurate extraction of mechanical fault features and accurate identification of fault types. As a sparse representation method, Orthogonal Matching Pursuit (OMP) method can search for sub-optimal sparse decomposition locally, while ensuring calculation accuracy and relatively low algorithm complexity. Therefore, the present invention can effectively extract th...

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Abstract

The invention discloses a mechanical fault sparse representation method based on wolf group parameterized joint dictionary, which belongs to the technical field of mechanical fault diagnosis. The present invention combines the principle of sparse representation to propose a gray wolf optimized sparse method based on the joint dictionary, integrates the optimization algorithm into the orthogonal matching and tracking, selects the joint dictionary atom that best matches the fault through the inner product operation, and uses the optimal atom to process the fault signal Reconstruction, and then perform envelope analysis on the reconstructed signal, so as to realize the extraction of transient characteristic components in the signal, effectively characterize the fault information, and judge the fault type more accurately. The invention is suitable for fault diagnosis of rolling bearings.

Description

technical field [0001] The invention belongs to the technical field of mechanical fault diagnosis, and in particular relates to a sparse representation method of mechanical faults based on a wolf pack parameterized joint dictionary. Background technique [0002] In recent years, after the hoisting and transportation machinery manufacturing industry adopts new theories, new technologies, new structures, new materials and new processes, its product design and performance levels have been improved to a certain extent. As an important part of mechanical system components, rolling bearings often fail during the operation of the mechanical system, and once a failure occurs, it will have a great impact on the normal operation of the equipment. Therefore, it is particularly important to monitor the condition of the machine and diagnose early faults , so as to ensure the safe operation of the equipment in the later stage. [0003] Different from the traditional signal representation...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/00G01M13/04G01M13/045
CPCG06N3/006G01M13/04G01M13/045G06F2218/08G06F2218/12
Inventor 李福生张烁刘治汶何星华鲁欣程惠珠
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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