Abstract | ||
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A novel application of fuzzy-neuro approach to protection of double circuit transmission line is demonstrated in this paper. Different system faults on a protected transmission line should be detected and classified rapidly and correctly. Using the proposed approach, fault detection, classification and faulted phase selection could be achieved within a quarter of cycle. Results of performance studies show that the proposed fuzzy-neuro-based module can improve the performance of conventional fault selection algorithms. |
Year | DOI | Venue |
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2005 | 10.1093/ietisy/e88-d.8.1920 | IEICE Transactions |
Keywords | Field | DocType |
fault-type identification,double circuit transmission line,proposed fuzzy-neuro-based module,different system fault,circuit lines,protected transmission line,fuzzy neuro approach,conventional fault selection algorithm,performance study,fault detection,phase selection,fuzzy-neuro approach,transmission lines | Telecommunications,Transmission line,Pattern recognition,Fault detection and isolation,Computer science,Fuzzy logic,Electric power transmission,Electronic engineering,Fuzzy neural nets,Artificial intelligence,Circuit protection | Journal |
Volume | Issue | ISSN |
E88-D | 8 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohammad Reza Aghaebrahimi | 1 | 0 | 0.68 |
Hassan Khorashadi-Zadeh | 2 | 0 | 0.68 |