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| Content Provider | IET Digital Library |
|---|---|
| Author | Sabouri, Mehdi Ojaghi, Mansour Faiz, Jawad Cardoso, Antonio J. Marques |
| Abstract | 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. |
| Starting Page | 204 |
| Ending Page | 211 |
| Page Count | 8 |
| ISSN | 17518660 |
| Volume Number | 14 |
| e-ISSN | 17518679 |
| Issue Number | Issue 2, Feb (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-epa/14/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-epa.2019.0267 |
| Journal | IET Electric Power Applications |
| Publisher Date | 2019-10-04 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Asynchronous Machine Condition Monitoring Electrical Machine Fault Diagnosis Model-based Unified Technique Rotor Broken Bar Fault Identification Technique Rotors SCIM Squirrel Cage Induction Motors Squirrel Cage Motors Stator Interturn Fault Identification Stators Unified Fault Diagnosis System |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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