TY  - CONF
Y1  - 2014///
TI  - A non invasive fault diagnosis system for induction motors in noisy environment
KW  - Condition monitoring; Hardware; Induction motors; Noninvasive medical procedures
KW  -  Bearing fault; Detection methods; Environmental noise; Fault diagnosis systems; Hardware implementations; Instantaneous power; Low order harmonics; Noninvasive methods
KW  -  Fault detection
SN  - 9781479972975
N2  - 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 power analysis) was affected by the environmental noise, switching disturbances and other low order harmonics. The instantaneous power analysis yields erroneous results under low load conditions of the motor where fault signature was buried in the noise. It has been theoretically and experimentally shown that the proposed phase detection method can detect fault signatures in the noisy environment without use of any extra hardware. The accuracy of the proposed phase detection method was compared with the instantaneous power analysis method for bearing ball defects and the results on the real hardware implementation confirm the effectiveness of the proposed approach. © 2014 IEEE.
EP  - 276
A1  - Irfan, M.
A1  - Saad, N.
A1  - Ibrahim, R.
A1  - Asirvadam, V.S.
A1  - Hung, N.T.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946692834&doi=10.1109%2fPECON.2014.7062455&partnerID=40&md5=296d30fc692009bcdd50ccdeb66af265
N1  - cited By 11; Conference of 2014 IEEE International Conference on Power and Energy, PECon 2014 ; Conference Date: 1 December 2014 Through 3 December 2014; Conference Code:111645
ID  - scholars4347
AV  - none
SP  - 271
PB  - Institute of Electrical and Electronics Engineers Inc.
ER  -