Research on Rolling Bearing Fault Diagnosis Based on Volterra Kernel Identification and KPCA
نویسندگان
چکیده
A rolling bearing fault diagnosis method based on the Volterra series and kernel principal component analysis (KPCA) is proposed. In proposed method, first, improved genetic algorithm (IGA) used to identify model of in four states: normal, element fault, inner ring outer fault. The time-domain as feature vector for classify faults. feasibility level verified by experimental results.
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ژورنال
عنوان ژورنال: Shock and Vibration
سال: 2023
ISSN: ['1875-9203', '1070-9622']
DOI: https://doi.org/10.1155/2023/5600690