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| Differential Protection of Generator by Using Neural Network,
Fuzzy Neural and Fuzzy Neural Petri Net
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Full
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 PDF(210KB) |
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Source |
International Journal of Artificial Intelligence and Expert Systems (IJAE) |
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Table of Contents |
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Download
Complete Issue PDF(407.76KB) |
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Volume: 3 Issue: 1 |
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Pages: NULL |
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Publication
Date: February 2012 |
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ISSN
(Online): 2180-124X |
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Pages |
14 - 27 |
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Author(s) |
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Published
Date |
16-04-2012 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Differential protection, generator, internal faults |
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| This paper describes Artificial Intelligences techniques for detecting internal faults in a generator. Three techniques uses Neural Net (NN), Fuzzy Neural (FNN) and Fuzzy Neural Petri Net (FNPN) to implements differential protection of generator. MATLAB toolbox has been used for simulations and generation of fault data to training the programs for different faults cases and to implement the relay. Result of different cases studies are presented and compares among three implements techniques. |
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| Dr. Abduladhem A. Ali : Colleagues
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| Dr. Abaas H. Abaas : Colleagues
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| Ahmed Thamer Radhi : Colleagues
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