Study of remote bearing fault diagnosis based on BP Neural Network combination

Abstract

In this paper, the rolling bearing is detected by the PLC-based remote fault diagnosis system. This system carries out remote system bearing fault diagnosis and maintenance through the combination of expert system and BP Neural Network. Since the advantages of rapid exchange of diagnostic information, accelerating the fault diagnosis rate, and reducing negative effects of failure on production process, many enterprises adopt remote fault diagnosis technology to carry out rolling bearing detection. Enterprises adopting cross-boundary diagnosis of rolling bearing fault detection show that this method brings enormous economic benefits. The research has important economic significance and practical value.