Open AccessModel‐based unified technique for identifying severities of stator inter‐turn and rotor broken bar faults in SCIMs
Author(s) -
Sabouri Mehdi,
Ojaghi Mansour,
Faiz Jawad,
Marques Cardoso Antonio J.
Publication year - 2020
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2019.0267
Subject(s) - stator , robustness (evolution) , control theory (sociology) , induction motor , rotor (electric) , fault (geology) , engineering , squirrel cage rotor , control engineering , fault detection and isolation , computer science , voltage , actuator , artificial intelligence , electrical engineering , biochemistry , chemistry , seismology , geology , gene , control (management)
Condition monitoring is an essential technology for detecting various incipient defects in electrical machines. Stator inter‐turn and rotor broken bar faults are two major faults of the squirrel cage induction motors (SCIMs). Many attempts have been made to provide fault diagnosis systems for detecting the faults individually. This study proposes a novel unified fault diagnosis system for detecting the faults and identifying their exact severities. The system is based on a flexible model of the SCIM and can identify the severities of the faults even if they are presenting simultaneously. Robustness against the motor load change, the unbalance degree of the voltage supply and its distortion are the other merits of the proposed fault diagnosis system. Experimental results under various fault modes and operating conditions demonstrate the effectiveness of the proposed fault identification technique.