Wenzhuo Xiong

May 4, 2023 | mdpi.com | Zilong Wang |Honghai Shen |XueMing Zhang |Wenzhuo Xiong

Abstract:Due to the complexity of electromechanical equipment and the difficulties in obtaining large-scale health monitoring datasets, as well as the long-tailed distribution of data, existing methods ignore certain characteristics of health monitoring data. In order to solve these problems, this paper proposes a method for the fault diagnosis of rolling bearings in electromechanical equipment based on an improved prototypical network—the weight prototypical networks (WPorNet).