Breakdown voltage prediction of SF6 gaps based on electric field features and SVM algorithm

Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP

Volumn 2015-December, Issue , 2015, Pages 555-558

  Qiu, Zhibin ^a   Ruan, Jiangjun ^a   Huang, Daochun ^a   Wei, Mengting ^a   Huang, Congpeng ^a   Shu, Shengwen ^b  

^a WUHAN UNIVERSITY   (China)

^b Fujian Electric Power Company Limited   (China)

Author keywords

breakdown voltage; electric field features; prediction; sulfur hexafluoride (SF6); support vector machine (SVM)

Indexed keywords

ALGORITHMS; ELECTRIC BREAKDOWN; ELECTRIC FIELDS; FORECASTING; SULFUR HEXAFLUORIDE; SUPPORT VECTOR MACHINES;

ELECTRIC FIELD DISTRIBUTIONS; ELECTRIC FIELD GRADIENTS; ELECTRIC FIELD STRENGTH; EXPERIMENTAL VALUES; GRID-SEARCH METHOD; KERNEL FUNCTION PARAMETERS; PENALTY COEFFICIENT; VOLTAGE PREDICTION;

FINITE ELEMENT METHOD;

EID: 84959570918     PISSN: 00849162     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEIDP.2015.7351992     Document Type: Conference Paper

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