Assessment of PD severity in gas-insulated switchgear with an SSAE

IET Science, Measurement and Technology

Volumn 11, Issue 4, 2017, Pages 423-430

  Tang, Ju ^a,b   Jin, Miao ^a   Zeng, Fuping ^a   Zhang, Xiaoxing ^a   Huang, Rui ^c  

^a WUHAN UNIVERSITY   (China)

^b CHONGQING UNIVERSITY   (China)

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

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; DEEP NEURAL NETWORKS; PARTIAL DISCHARGES;

ASSESSMENT ACCURACY; GAS INSULATED SWITCHGEARS; LEARNING NEURAL NETWORKS; SAFE OPERATION; SIMULATION ANALYSIS; STATISTICAL FEATURES; SUPPORT VECTOR MACHINE ALGORITHM; TRAINING SAMPLE;

ELECTRIC SWITCHGEAR;

EID: 85021412201     PISSN: 17518822     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-smt.2016.0326     Document Type: Article

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