Integrating AI based DGA fault diagnosis using Dempster-Shafer Theory

International Journal of Electrical Power and Energy Systems

Volumn 48, Issue 1, 2013, Pages 31-38

  Bhalla, Deepika ^a   Bansal, Raj Kumar ^b   Gupta, Hari Om ^c  

^a Surya Group of Institutions   (India)

^b Guru Kashi University   (India)

^c JAYPEE INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

Artificial intelligence; Dempster Shafer Evidential Theory; Dissolved gas analysis; Transformer fault diagnosis

Indexed keywords

AI TECHNIQUES; BACK PROPAGATION NEURAL NETWORKS; DEMPSTER-SHAFER EVIDENTIAL THEORY; DEMPSTER-SHAFER THEORY; DISSOLVED GAS ANALYSIS; HISTORIC DATA; INCIPIENT FAULT DIAGNOSIS; INCIPIENT FAULTS; TRANSFORMER FAULT DIAGNOSIS;

ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS;

FUZZY LOGIC;

EID: 84872123454     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2012.11.018     Document Type: Article

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