Detection of generalized-roughness bearing fault using statistical-time indices of instantaneous frequency of motor voltage space vector

This paper proposes a new approach to detect generalized-roughness bearing faults via motor voltage monitoring which has not been studied in the literature yet. The proposed method detects the bearing faults using analysis of instantaneous frequency of voltage signals. Our proposed method is superior to previous ones in a number of aspects. First, obtaining voltage signals is easier than other signals such as vibration, sound pressure, and temperature. Second, it is computationally simple method. Third, our proposed method is non-invasive. The Experimental results show that these impacts are so strong that even simple time-domain indices are able to detect bearing defects. The experimental results confirm the effectiveness of the proposed method.