Title
A Fuzzy Neuro Approach to Fault-Type Identification for Double Circuit Lines
Abstract
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
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 Aghaebrahimi100.68
Hassan Khorashadi-Zadeh200.68