Improving recognition accuracy of partial discharge patterns by image-oriented feature extraction and selection technique

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 23, Issue 2, 2016, Pages 1076-1087

  Zhang, Shuqi ^a,b   Li, Chengrong ^a   Wang, Ke ^b   Li, Jinzhong ^b   Liao, Ruijin ^c   Zhou, Tianchun ^d   Zhang, Yiyi ^e  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b CHINA ELECTRIC POWER RESEARCH INSTITUTE   (China)

^c CHONGQING UNIVERSITY   (China)

^d Electric Power Planning and Engineering Institute   (China)

^e GUANGXI UNIVERSITY   (China)

Author keywords

gray image; Non dominated sorting genetic algorithm II; Partial discharges; pattern recognition; two dimensional principal component analysis

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; DEFECTS; EXTRACTION; FACE RECOGNITION; GENETIC ALGORITHMS; IMAGE ANALYSIS; IMAGE PROCESSING; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; PARTIAL DISCHARGES; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SORTING; SUPPORT VECTOR MACHINES;

BACK-PROPAGATION NEURAL NETWORKS; FUZZY K-NEAREST NEIGHBOR CLASSIFIER; GRAY IMAGE; NON DOMINATED SORTING GENETIC ALGORITHM II (NSGA II); NON-DOMINATED SORTING GENETIC ALGORITHM - II; PHASE RESOLVED PARTIAL DISCHARGES; TWO DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS; TWO DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS (2DPCA);

FEATURE EXTRACTION;

EID: 84973468819     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2015.005226     Document Type: Article

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