Artificial neural network based fault identification scheme implementation for a three-phase induction motor

ISA Transactions

Volumn 46, Issue 2, 2007, Pages 261-266

  Kolla, Sri R ^a   Altman, Shawn D ^a  

^a BOWLING GREEN STATE UNIVERSITY   (United States)

Author keywords

Artificial intelligence; Faults; Induction motor; Neural networks; Protection; Relays

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER HARDWARE; INDUCTION MOTORS; JAVA PROGRAMMING LANGUAGE; NEURAL NETWORKS;

FAULT IDENTIFICATION; SOFTWARE PROGRAMS;

FAULT DETECTION;

EID: 33947284446     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2006.08.002     Document Type: Article

References (16)

1. ABB Relaying Division. Protective relaying: Theory and application (1994), Marcel Dekker, Inc., New York (NY)
2. Phadke A.G., and Thorp J.S. Computer relaying for power systems (1988), John Wiley & Sons, New York (NY)
3. Sachdev MS. (Coordinator), Advancements in microprocessor based protection and communication. IEEE tutorial course text. Publication no. 97TP120-0, New York (NY); 1997
4. Elmore WA, Kramer CA. Complete motor protection by microprocessor relay. In: Proceedings of Georgia tech protective relaying conference. 1987. p. 1-13
5. Lacroix B, Clegg D. Microprocessor motor protection relay. In: Proceedings of 4th international conference on developments in power system protection. IEE Pub. No. 302. 1989. p. 235-8
6. Pandurangavittal K., Fakruddin D.B., Rao I.R., and Parthasarathy K. Microcontroller based three-phase induction motor protection relay with operator selectable thermal I - T curve feature. Electric Machines and Power Systems 26 (1998) 13-26
7. Farag W.A., and Kamel M.I. Microprocessor-based protection system for three-phase induction motor. Electric Machines and Power Systems 27 (1999) 453-464
8. Chow M.-Y., and Yee S.-O. Using neural networks to detect incipient faults in induction motors. Journal of Neural Network Computing 2 (1991) 26-32
9. Chow M.-Y., Sharpe R.N., and Hung J.C. On the application and design of artificial neural networks for motor fault detection. IEEE Transactions on Industrial Electronics 40 (1993) 181-196
10. Kolla S.R., and Varatharasa L. Identifying three-phase induction motor faults using artificial neural networks. ISA Transactions 39 (2000) 433-439
11. Siddique A., Yadava G.S., and Singh B. A review of stator fault monitoring techniques of induction motors. IEEE Transactions on Energy Conversion 20 (2005) 106-114
12. Fischer I, Hennecke F, Bannes C, Zell A. JavaNNS. http://www-ra.informatik.unituebingen.de/JavaNNS/, 2001
13. National instruments, LabVIEW requirements. www.ni.com/labview/requiremts/, 2003
14. In: Lau C. (Ed). Neural networks: Theoretical foundations and analysis (1992), IEEE Press, New York (NY)
15. Caudill M., and Butler C. Understanding neural networks: Computer explorations (1992), MIT Press, Cambridge (MA)
16. Altman SD. Real-time implementation of a fault identification scheme for a three-phase induction motor using artificial neural networks. M.I.T. thesis. Bowling Green (OH): College of Technology, Bowling Green State University; 2004