An Online Fault Diagnosis System for Induction Motors via Instantaneous Power Analysis
This article aims to provide a new noninvasive method for the online diagnosis of bearing-localized faults under various loading conditions of the induction motors via instantaneous power analysis. The instantaneous noise variations and sensor offsets are considered to be one of the common factors t...
| Main Authors: | Irfan, M., Saad, N., Ibrahim, R., Asirvadam, V.S., Magzoub, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19437 / |
| Published: |
Taylor and Francis Inc.
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988601089&doi=10.1080%2f10402004.2016.1190043&partnerID=40&md5=1f460057adb11088d952924267c9a109 http://eprints.utp.edu.my/19437/ |
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