Recurrent neural network for partial discharge diagnosis in gas-insulated switchgear

Energies

Volumn 11, Issue 5, 2018, Pages

  Nguyen, Minh Tuan ^a   Nguyen, Viet Hung ^a   Yun, Suk Jun ^b   Kim, Yong Hwa ^a  

^a Myong Ji University   (South Korea)

^b Genad System   (South Korea)

Author keywords

Fault diagnosis; Gas insulated switchgear (GIS); Long short term memory (LSTM); Partial discharges; Recurrent neural network (RNN)

Indexed keywords

BRAIN; ELECTRIC SWITCHGEAR; EXTRACTION; FAILURE ANALYSIS; FAULT DETECTION; PARTIAL DISCHARGES; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; ELECTRICAL APPARATUS; FEATURE REPRESENTATION; GAS INSULATED SWITCHGEAR(GIS); GAS INSULATED SWITCHGEARS; PARTIAL DISCHARGE SIGNAL; RECURRENT NEURAL NETWORK (RNN); SUPPORT VECTOR MACHINE (SVMS);

LONG SHORT-TERM MEMORY;

EID: 85047079482     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en11051202     Document Type: Article

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