Artificial neural network application for partial discharge recognition: Survey and future directions

Energies

Volumn 9, Issue 8, 2016, Pages

  Mas'ud, Abdullahi Abubakar ^a   Albarracín, Ricardo ^b   Ardila Rey, Jorge Alfredo ^c   Muhammad Sukki, Firdaus ^d   Illias, Hazlee Azil ^e   Bani, Nurul Aini ^f   Munir, Abu Bakar ^e  

^a JUBAIL INDUSTRIAL COLLEGE   (Saudi Arabia)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^c DEPARTAMENTO DE FÍSICA   (Chile)

^d ROBERT GORDON UNIVERSITY   (United Kingdom)

^e UNIVERSITY OF MALAYA   (Malaysia)

^f UTM RAZAK SCHOOL OF ENGINEERING AND ADVANCED TECHNOLOGY   (Malaysia)

Author keywords

Artificial intelligence; Artificial neural network (ANN); Partial discharge (PD)

Indexed keywords

ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; PARTIAL DISCHARGES; STATISTICAL TESTS; SURVEYS;

INDUSTRIAL ENVIRONMENTS; LITERATURE SURVEY; NEURAL NETWORK APPLICATION; PARTIAL DISCHARGE RECOGNITION; PD CLASSIFICATION; RECOGNITION RATES; TRAINING AND TESTING; TRIAL-AND-ERROR APPROACH;

PATTERN RECOGNITION;

EID: 84982943783     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en9080574     Document Type: Review

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