Research on online anomaly detection methods for bearing degradation
Shuowei Jin,
Hongchao Xu,
Zhenlin Lu
et al.
Abstract:In industrial applications, rolling bearings operate under conditions of high precision and high speed, and their physical and mechanical characteristics change with the increase in operating time. Traditional diagnostic methods struggle to adapt well to the changing characteristics of bearings for online anomaly detection. Therefore, this research proposes an online anomaly detection method for rolling bearings based on Time-density-weighted Incremental Support
Vector Data Description (TISVDD). A clas… Show more
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