Acoustic detection of partial discharge using signal processing and pattern recognition techniques

Insight: Non-Destructive Testing and Condition Monitoring

Volumn 54, Issue 12, 2012, Pages 667-672

  Swedan, A ^a   El Hag, A H ^a   Assaleh, K ^b  

^a Al Ain Distribution Company   (United Arab Emirates)

^b AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

Author keywords

Acoustic detection; Artificial neural network (ANN); Partial discharge location; Propagation media

Indexed keywords

ACOUSTIC DETECTION; ACOUSTIC SENSORS; ACOUSTIC SIGNALS; CELLULOSE INSULATION; CONTINUOUS MONITORING; DETECTION PERFORMANCE; INSULATION DETERIORATION; MAJOR FACTORS; PARTIAL DISCHARGE LOCATION; PARTIAL DISCHARGE SIGNAL; PATTERN RECOGNITION TECHNIQUES; PROPAGATION MEDIA; SIGNAL ENTROPY; STEEL CORE; TANK SIZE;

ACOUSTIC VARIABLES MEASUREMENT; ACOUSTIC WAVES; COREMAKING; ELECTROMAGNETIC PULSE; INSULATING MATERIALS; INSULATION; NEURAL NETWORKS; PATTERN RECOGNITION; POWER TRANSFORMERS; SIGNAL DETECTION; SILICON STEEL;

PARTIAL DISCHARGES;

EID: 84871182090     PISSN: 13542575     EISSN: 17544904     Source Type: Journal    
DOI: 10.1784/insi.2012.54.12.667     Document Type: Article

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