A non invasive fault diagnosis system for induction motors in noisy environment

• Main Authors: Irfan, M., Saad, N., Ibrahim, R., Asirvadam, V.S., Hung, N.T.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2014
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946692834&doi=10.1109%2fPECON.2014.7062455&partnerID=40&md5=296d30fc692009bcdd50ccdeb66af265; http://eprints.utp.edu.my/31315/

In this paper a phase detection method for fault diagnosis of the induction motors has been presented. The proposed method has a powerful environmental noise suppression capability. It has been shown in literature that the performance of the previously used fault detection method (instantaneous powe...