Model study of transformer fault diagnosis based on principal component analysis and neural network

Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

Volumn , Issue , 2009, Pages 936-940

  Zhengwei, Zhu ^a   Zhenghua, Ma ^a   Zhenghong, Wang ^a   Jianming, Jiang ^a  

^a CHANGZHOU UNIVERSITY   (China)

Author keywords

RBF neural network fault diagnosis principal component analysis

Indexed keywords

CONVENTIONAL TESTING; MODEL STUDY; ONLINE DATA; PHYSICAL LAWS; PRINCIPAL COMPONENT ANALYSIS METHOD; PRINCIPAL COMPONENTS; RBF NEURAL NETWORK; RBF NEURAL NETWORK FAULT DIAGNOSIS PRINCIPAL COMPONENT ANALYSIS; THREE-LAYER; TRANSFORMER FAULT DIAGNOSIS; TRANSFORMER FAULTS;

ELECTRIC TRANSFORMER TESTING; FAILURE ANALYSIS; MATLAB; MODELS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 70349291323     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNSC.2009.4919406     Document Type: Conference Paper

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