Mechanical fault sparse representation method based on wolf pack parameterization joint dictionary

A mechanical fault and sparse representation technology, applied in mechanical bearing testing, mechanical component testing, computer components, etc., can solve the problems of poor accurate identification of mechanical fault characteristics and fault types, difficulty in meeting production requirements, etc., and improve computing efficiency The effect of precision

Active Publication Date: 2020-08-25
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 ...

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  • Mechanical fault sparse representation method based on wolf pack parameterization joint dictionary
  • Mechanical fault sparse representation method based on wolf pack parameterization joint dictionary
  • Mechanical fault sparse representation method based on wolf pack parameterization 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 pair signal is used 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. Orthogonal matching pursuit (OMP) method, as a sparse representation 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 the im...

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Abstract

The invention discloses a mechanical fault sparse representation method based on a wolf pack parameterization joint dictionary, and belongs to the technical field of mechanical fault diagnosis. The invention provides a grey wolf optimization sparse method based on a joint dictionary in combination with a sparse representation principle. An optimization algorithm is fused into orthogonal matching pursuit, a joint dictionary atom most matched with a fault is selected through inner product operation, the optimal atom is used for reconstructing a fault signal, and then envelope analysis is performed on the reconstructed signal, so that extraction of transient characteristic components in the signal is realized, fault information is effectively represented, and the fault type is judged more accurately. The method is suitable for rolling bearing fault diagnosis.

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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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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