A Novel Fault Diagnosis Method for Motor Bearing Based on DTCWT and AFSO-KELM
Aiming at the defects of wavelet transform-based feature extraction and extreme learning machine-based classification, a novel fault diagnosis method for motor bearing, based on dual tree complex wavelet transform and artificial fish swarm optimization-kernel extreme learning machine (DTCWT-AFSO-KEL...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2021/2108457 |
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