Under complex operating conditions involving multiple faults, load variations, speed variations, and noise interference, rolling bearing vibration signals show strong non-stationary and nonlinear characteristics. Traditional feature extraction methods often have difficulty in representing complex fault information effe...
Tian-Chi Li, Yi-Min Zhang, Shu-Zhi Gao et al.· Transactions of the Canadian...· 0 citations
Gear wear and fatigue often coexist under complex operating conditions. Their coex istence may bias reliability assessment and greatly increase the computational cost of time-varying reliability analysis. To address these issues, this paper proposes a dynamic multi-failure reliability analysis method for tooth surface...
Shuzhi Gao, Jiaxin Xu, Yimin Zhang et al.· International Journal of Rel...· 0 citations
A rolling bearing fault diagnosis method combining the Gramian Angular Field with a dual-channel Convolutional Neural Network (CNN) and Least Squares Support Vector Machine (LSSVM) that demonstrated superior performance compared to several other fault diagnosis methods when dealing with limited training samples and noi...
Kai Zhang, Chen Yang, Shuzhi Gao· Signal, Image and Video Proc...· 0 citations
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