Research on Demagnetization Fault Diagnosis Method of Mine Cutting Permanent Magnet Synchronous Motor

To give timely and accurate diagnosis in the early stage of demagnetization failure for effective control and treatment, based on wavelet packet analysis, principal component analysis (PCA) dimensionality reduction, and least squares support vector machine(LSSVM), the extraction of features and the...

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Bibliographic Details
Published in:International journal of rotating machinery 2024, Vol.2024, p.1-16
Main Authors: Ye, Guo, Lu, Yanbin, Ju, Jinyong, Sheng, Lianchao
Format: Article
Language:English
Subjects:
Classification
Demagnetization
Fault diagnosis
Faults
Finite element analysis
Finite element method
Fourier transforms
Kalman filters
Magnetic fields
Neural networks
Permanent magnets
Phase current
Principal components analysis
Reduction
Simulation
Simulation models
Software
Spectrum analysis
Support vector machines
Synchronous motors
Wavelet analysis
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Summary:To give timely and accurate diagnosis in the early stage of demagnetization failure for effective control and treatment, based on wavelet packet analysis, principal component analysis (PCA) dimensionality reduction, and least squares support vector machine(LSSVM), the extraction of features and the classification of demagnetization faults are completed. Since it is difficult to collect real data sets of demagnetization faults in practice, a two-dimensional finite element simulation model of permanent magnet synchronous motor (PMSM) under uniform demagnetization and partial demagnetization faults is established based on the Maxwell simulation platform. The wavelet packet analysis is used to extract the demagnetization feature of the A-phase current of the PMSM. Based on PCA dimensionality reduction, the dimensionality reduction of fault features is realized. The LSSVM is used to identify the fault and complete the fault classification. The simulation results show that the method has a high classification accuracy rate for demagnetization faults.
ISSN:1023-621X
1542-3034
DOI:10.1155/2024/6648925