Compositional modeling of partial discharge pulse spectral characteristics

IEEE Transactions on Instrumentation and Measurement

Volumn 62, Issue 7, 2013, Pages 1909-1916

  Baker, Pete C ^a   Stephen, Bruce ^a   Judd, Martin D ^a  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

Author keywords

Condition monitoring; fault diagnosis; machine learning; partial discharge (PD); RF signals; wireless sensor networks

Indexed keywords

CLASSIFICATION ACCURACY; COMPUTATIONALLY EFFICIENT; FREQUENCY SPECTRUM FEATURES; PARTIAL DISCHARGE MONITORING; PARTIAL DISCHARGE PULSE; RF SIGNAL; SPECTRAL CHARACTERISTICS; TIME AND FREQUENCY DOMAINS;

CONDITION MONITORING; DEFECTS; FAILURE ANALYSIS; LEARNING SYSTEMS; SPECTRUM ANALYSIS; WIRELESS SENSOR NETWORKS;

PARTIAL DISCHARGES;

EID: 84879037060     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2013.2247711     Document Type: Article

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