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Application of AI methods for rotor faults detection of the induction motor
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Author(s) |
C.T.Kowalski; M.Pawlak |
Abstract |
The paper deals with rotor fault diagnosis problems of the induction motor using different Artificial Intelligence methods like: neural networks, fuzzy-logic and combined neuro-fuzzy methods. Rotor fault detectors based on these methods were developed. All detectors were trained and tested using measurement data of stator current spectra. The digital signal processor was used for practical realisation of AI-based fault detectors. All detectors were tested in off-line as well as on-line operation. The efficiency of developed neural detectors was evaluated. |
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Filename: | EPE2003-PP0818 - Kowalski |
Filesize: | 796.6 KB |
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Type |
Members Only |
Date |
Last modified 2003-10-13 by Unknown |
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