A spatial bearing fault classification method based on improved APSMOTE-WKMFA

A spatial bearing fault classification method based on improved APSMOTE-WKMFA

ObjectiveAiming at the problem of low accuracy of classification of time domain features of spatial bearings, time domain indicators and wavelet packet decomposition algorithms are combined to obtain the time-frequency distribution features of spatial bearings. The maximal overlap discrete wavelet p...

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Bibliographic Details
Main Authors: CHEN Chao, YANG Chenhao, XU Haosen, WAN Ouying, HAN Liling
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2025-01-01
Series:Jixie chuandong
Subjects:
Spatial bearing
Time-frequency distribution characteristic
Class imbalance
Oversampling
Marginal Fisher analysis
Online Access:http://www.jxcd.net.cn/thesisDetails?columnId=100610469&Fpath=home&index=0
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