Comparison of feature extractors on DC power system faults for improving ANN fault diagnosis accuracy

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 4, Issue , 1995, Pages 3615-3623

  Momoh, James A ^a   Oliver Jr , Walter E ^a   Dolce, James L ^a  

^a HOWARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; ELECTRIC FAULT CURRENTS; ELECTRIC NETWORK TOPOLOGY; ELECTRIC POWER DISTRIBUTION; ELECTRIC POWER SYSTEMS; FAILURE ANALYSIS; FEATURE EXTRACTION; LEARNING SYSTEMS;

CLUSTERING ALGORITHM; DC POWER SYSTEM FAULTS; FAULT DIAGNOSIS ACCURACY; FEATURE EXTRACTORS;

NEURAL NETWORKS;

EID: 0029509719     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)