A nearest neighbour clustering approach for incipient fault diagnosis of power transformers

Electrical Engineering

Volumn 99, Issue 3, 2017, Pages 1109-1119

  Islam, Md Mominul ^a   Lee, Gareth ^a   Hettiwatte, Sujeewa Nilendra ^b  

^a MURDOCH UNIVERSITY   (Australia)

^b Productivity and Management Development Division   (Sri Lanka)

Author keywords

Clustering techniques; Dissolved gas analysis (DGA); Incipient faults; k Nearest neighbour (KNN) algorithm; Machine learning techniques; Power transformer

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTATION THEORY; FAILURE ANALYSIS; FUZZY LOGIC; FUZZY NEURAL NETWORKS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEAREST NEIGHBOR SEARCH; POWER TRANSFORMERS; SUPPORT VECTOR MACHINES;

CLUSTERING TECHNIQUES; DISSOLVED GAS ANALYSES (DGA); INCIPIENT FAULTS; K NEAREST NEIGHBOURS (K-NN); MACHINE LEARNING TECHNIQUES;

FAULT DETECTION;

EID: 84995426753     PISSN: 09487921     EISSN: 14320487     Source Type: Journal    
DOI: 10.1007/s00202-016-0481-3     Document Type: Article

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