Advanced bearing fault detection at varying rotational speeds using PSO-optimized SVM and CDET feature selection

Advanced bearing fault detection at varying rotational speeds using PSO-optimized SVM and CDET feature selection

Abstract In this exploration, we introduce a novel intelligent hybrid methodology for multiclass bearing fault detection under varying rotational speeds. Unlike previous studies, our approach combines empirical mode decomposition (EMD), wavelet packet decomposition (WPD), and a comprehensive attribu...

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Bibliographic Details
Main Authors: Hongxu Chai, Xiaoshi Ma, Feng Zhu, Yandong Hu
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Engineering and Applied Science
Subjects:
Vibration analysis
Feature selection
SVM
PSO
DPD
EMD
Online Access:https://doi.org/10.1186/s44147-025-00683-z
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