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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rama Devi, N. Gafoor, S.A. Ramana Rao, P.V. |
| Copyright Year | 2010 |
| Description | Author affiliation: Electrical and Electronics Engg., Bapatla Engineering College, India (Rama Devi, N.; Gafoor, S.A.) || Electrical Engg., National Institute of Technology, Warangal, India (Ramana Rao, P.V.) |
| Abstract | This paper proposes a protection scheme based on Wavelet Multi Resolution Analysis and Artificial neural network which detects and classifies various possible stator winding fault of a three-phase induction motor such as inter turn faults, line to ground faults and line to line faults. The wavelet decomposition of three-phase stator currents is carried out with Bior5.5. The maximum value of absolute peak d1 coefficients of three-phase currents is defined as fault index which is compared with a predefined threshold to detect the fault. The normalized peak d1 coefficients of these currents are fed to a Feedforward neural network to classify various faults. The algorithm has been tested for various incidence angles and proved to be simple, reliable and effective in detecting and classifying the various stator winding faults. |
| Starting Page | 1457 |
| Ending Page | 1461 |
| File Size | 332645 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424450459 |
| e-ISBN | 9781424450466 |
| DOI | 10.1109/ICIEA.2010.5514824 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-15 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Protection Induction motors Multiresolution analysis Artificial neural networks Fault detection Wavelet analysis Stator windings Wavelet transforms Educational institutions Testing Artificial neural network Stator internal faults Multi Resolution Analysis 3-phase induction motor |
| Content Type | Text |
| Resource Type | Article |
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