TY  - JOUR
AV  - none
N1  - cited By 17
TI  - An Online Fault Diagnosis System for Induction Motors via Instantaneous Power Analysis
SP  - 592
SN  - 10402004
PB  - Taylor and Francis Inc.
EP  - 604
N2  - 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 that yield erroneous fault tracking in an online condition monitoring and fault diagnosis system. An adaptive threshold scheme has been designed to tackle the sensor offsets and instantaneous noise variations for reliable decision making on the existence of fault signatures in an arbitrary environment conditions. The performance of the designed threshold scheme has been evaluated on a motor with various bearing defects operating under various loading conditions. Detailed theoretical and experimental evaluations of several bearing-localized faults are presented. The results indicate the viability and effectiveness of the proposed method. © 2017 Society of Tribologists and Lubrication Engineers.
IS  - 4
KW  - Condition monitoring; Decision making; Defects; Failure analysis; Fault tolerant computer systems; Induction motors; Noninvasive medical procedures
KW  -  Adaptive threshold scheme; Arbitrary environment; Bearing defect; Experimental evaluation; Fault diagnosis systems; Noninvasive methods; On-line fault diagnosis; Online condition monitoring
KW  -  Fault detection
ID  - scholars8512
Y1  - 2017///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988601089&doi=10.1080%2f10402004.2016.1190043&partnerID=40&md5=1f460057adb11088d952924267c9a109
JF  - Tribology Transactions
A1  - Irfan, M.
A1  - Saad, N.
A1  - Ibrahim, R.
A1  - Asirvadam, V.S.
A1  - Magzoub, M.
VL  - 60
ER  -