A novel rolling bearing fault diagnosis method based on IMOMEDA feature engineering and interpretable hybrid deep learning model

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Xipu Chen, Hongwei Wang, Wang Yunhang, Xu Qingang, Zhou Pengxiang, Wu Difei, Zhu Dengbo, Lu Yijie

DOI: 10.2139/ssrn.6154729

Cited by: 0

References: 21

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Gear and Bearing Dynamics Analysis Fault Detection and Control Systems

References 21