An improved bearing fault detection strategy based on artificial bee colony algorithm

An improved bearing fault detection strategy based on artificial bee colony algorithm

Abstract The operating state of bearing affects the performance of rotating machinery; thus, how to accurately extract features from the original vibration signals and recognise the faulty parts as early as possible is very critical. In this study, the one‐dimensional ternary model which has been pr...

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Bibliographic Details
Main Authors: Haiquan Wang, Wenxuan Yue, Shengjun Wen, Xiaobin Xu, Hans‐Dietrich Haasis, Menghao Su, Ping liu, Shanshan Zhang, Panpan Du
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
fault diagnosis
feature extraction
improved artificial bee colony algorithm
improved one‐dimensional ternary pattern method
shapelet transformation
Online Access:https://doi.org/10.1049/cit2.12105

Internet

https://doi.org/10.1049/cit2.12105

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