TY  - JOUR
EP  - 1267
KW  - Decision making; Failure analysis; Fault detection; Hardware; Induction motors; Monitoring
KW  -  Bearing fault; Condition monitoring systems; Fault severities; Hardware implementations; Instantaneous power; Intelligent fault diagnosis; Real time tracking; Sensor installation
KW  -  Condition monitoring
N2  - Condition monitoring is an important factor in assuring the well-being of motors. Existing approaches of condition monitoring require access to the motor for sensor installation. This paper reviews various forms of existing condition monitoring methods and highlights the need for an economical intelligent fault diagnosis system. In this study, the methodology taken in developing a condition monitoring system for motor bearing fault identification, utilizing the commonly available motor stator current and voltage is demonstrated. This unique diagnostic condition monitoring system provides continuous real time tracking of the various bearing defects and determines the fault severity which can be adopted for fast decision making. The study on different bearing faults under no-load and full-load conditions was carried out experimentally and then analyzed. The results on the real hardware implementation have confirmed the effectiveness of the proposed approach. © 2015, Springer Science+Business Media New York.
VL  - 28
JF  - Journal of Intelligent Manufacturing
AV  - none
TI  - Condition monitoring of induction motors via instantaneous power analysis
SN  - 09565515
ID  - scholars8497
A1  - Irfan, M.
A1  - Saad, N.
A1  - Ibrahim, R.
A1  - Asirvadam, V.S.
Y1  - 2017///
N1  - cited By 25
SP  - 1259
IS  - 6
PB  - Springer New York LLC
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922621111&doi=10.1007%2fs10845-015-1048-2&partnerID=40&md5=4e5ce63e61e46bd706d8d4ab1c82b40a
ER  -