Partial discharge patterns recognition with deep Convolutional Neural Networks

CMD 2016 - International Conference on Condition Monitoring and Diagnosis

Volumn , Issue , 2016, Pages 324-327

  Li, Gaoyang ^a   Rong, Mingzhe ^a   Wang, Xiaohua ^a   Li, Xi ^a   Li, Yunjia ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Convolutional Neural Network; partial discharge; pattern recognition; ultra high frequency

Indexed keywords

CONDITION MONITORING; CONVOLUTION; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; PARTIAL DISCHARGES; SIGNAL PROCESSING; SPEECH RECOGNITION;

CONDITION-MONITORING DATA; CONVOLUTIONAL NEURAL NETWORK; NATURAL LANGUAGE PROCESSING; PARTIAL DISCHARGE PATTERN; SIGNAL PROCESSING TECHNIQUE; STATE-OF-ART PERFORMANCE; TIME FREQUENCY ANALYSIS; ULTRA-HIGH FREQUENCY;

PATTERN RECOGNITION;

EID: 85007233515     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CMD.2016.7757816     Document Type: Conference Paper

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