Feature selection for partial discharge severity assessment in gas-insulated switchgear based on minimum redundancy and maximum relevance

Energies

Volumn 10, Issue 10, 2017, Pages

  Tang, Ju ^a   Jin, Miao ^a   Zeng, Fuping ^a   Zhou, Siyuan ^a   Zhang, Xiaoxing ^a   Yang, Yi ^b   Ma, Yan ^b  

^a WUHAN UNIVERSITY   (China)

^b STATE GRID SHANDONG ELECTRIC POWER RESEARCH INSTITUTE   (China)

Author keywords

Feature selection; Gas insulated switchgear (GIS); Minimum redundancy maximum relevance (mRMR); Partial discharge (PD); Severity assessment; SVM

Indexed keywords

DEFECTS; ELECTRIC SWITCHGEAR; INSULATION; PARTIAL DISCHARGES; REDUNDANCY; SUPPORT VECTOR MACHINES;

GAS INSULATED SWITCHGEAR(GIS); GAS INSULATED SWITCHGEARS; GAS INSULATION SWITCHGEARS (GIS); MINIMUM REDUNDANCY-MAXIMUM RELEVANCES; SCIENTIFIC EVALUATIONS; SEVERITY ASSESSMENTS; SUPPORT VECTOR MACHINE ALGORITHM; ULTRA-HIGH-FREQUENCY DATUM;

FEATURE EXTRACTION;

EID: 85035132644     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en10101516     Document Type: Article

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