Study on a novel fault diagnosis method of rolling bearing in motor

It is important to diagnose the faults of rolling bearings, because they may lead to the failure of motors, and even entire system-wide problems and failures. In order to diagnose the early faults of bearings, a novel method for early diagnosis of rolling bearing faults based on resonance-based sparse signal decomposition and principal component analysis is proposed in the present paper.