Support Vector Machine Based Bearing Fault Diagnosis for Induction Motors Using Vibration Signals

Don-Ha Hwang, Young-Woo Youn, Jong-Ho Sun, Kyeong-Ho Choi, Jong-Ho Lee, Yong-Hwa Kim
2015 Journal of Electrical Engineering and Technology  
In this paper, we propose a new method for detecting bearing faults using vibration signals. The proposed method is based on support vector machines (SVMs), which treat the harmonics of fault-related frequencies from vibration signals as fault indices. Using SVMs, the cross-validations are used for a training process, and a two-stage classification process is used for detecting bearing faults and their status. The proposed approach is applied to outer-race bearing fault detection in threephase
more » ... quirrel-cage induction motors. The experimental results show that the proposed method can effectively identify the bearing faults and their status, hence improving the accuracy of fault diagnosis.
doi:10.5370/jeet.2015.10.4.1558 fatcat:j6q4vgtntrewhh4fiuimyainti