Neural Networks based fault diagnosis of ac motors
This paper presents an Artificial Neural Network (ANN) technique to recognize the incipient faults of an AC motor such as a synchronous motor. The proposed ANN-based fault detector is developed using the Resilient Error Back Propagation (RPROP) training algorithm. The fast and reliable method f...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2639/ http://scholars.utp.edu.my/id/eprint/2639/1/NN_-_ac_motors_-_IEEE_ITSIM2008_-_Aug_2008.pdf |
| _version_ | 1848659278869561344 |
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| author | K.S., Rama Rao Muhammad, Aariff Yahya |
| author_facet | K.S., Rama Rao Muhammad, Aariff Yahya |
| author_sort | K.S., Rama Rao |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | This paper presents an Artificial Neural Network
(ANN) technique to recognize the incipient faults of an
AC motor such as a synchronous motor. The proposed
ANN-based fault detector is developed using the
Resilient Error Back Propagation (RPROP) training
algorithm. The fast and reliable method for multilayer
neural networks converges much faster than the
conventional back propagation algorithm. The main
causes to diagnose three major faults are investigated
and validated by adopting feed-forward back
propagation neural networks. |
| first_indexed | 2025-11-13T07:27:53Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:2639 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:27:53Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:26392017-01-19T08:26:09Z http://scholars.utp.edu.my/id/eprint/2639/ Neural Networks based fault diagnosis of ac motors K.S., Rama Rao Muhammad, Aariff Yahya TK Electrical engineering. Electronics Nuclear engineering This paper presents an Artificial Neural Network (ANN) technique to recognize the incipient faults of an AC motor such as a synchronous motor. The proposed ANN-based fault detector is developed using the Resilient Error Back Propagation (RPROP) training algorithm. The fast and reliable method for multilayer neural networks converges much faster than the conventional back propagation algorithm. The main causes to diagnose three major faults are investigated and validated by adopting feed-forward back propagation neural networks. 2008-08-26 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2639/1/NN_-_ac_motors_-_IEEE_ITSIM2008_-_Aug_2008.pdf K.S., Rama Rao and Muhammad, Aariff Yahya (2008) Neural Networks based fault diagnosis of ac motors. In: IEEE International Symposium on Information Technology 2008, ITSIM 2008, 26-28 Aug 2008, Kuala Lumpur, Malaysia. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering K.S., Rama Rao Muhammad, Aariff Yahya Neural Networks based fault diagnosis of ac motors |
| title | Neural Networks based fault diagnosis of ac motors |
| title_full | Neural Networks based fault diagnosis of ac motors |
| title_fullStr | Neural Networks based fault diagnosis of ac motors |
| title_full_unstemmed | Neural Networks based fault diagnosis of ac motors |
| title_short | Neural Networks based fault diagnosis of ac motors |
| title_sort | neural networks based fault diagnosis of ac motors |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/2639/ http://scholars.utp.edu.my/id/eprint/2639/1/NN_-_ac_motors_-_IEEE_ITSIM2008_-_Aug_2008.pdf |