Application of Artificial Intelligence (AI) in Power Transformer Fault Diagnosis

被引：3
|
作者：
Yang Qi-Ping [1 ]
Li Meng-Qun [1 ]
Mu Xue-Yun [1 ]
Wang Jun [1 ]
机构：
[1] Shanghai Univ Elect Power, Shanghai, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL IV, PROCEEDINGS | 2009年
关键词：
Power Transformer fault diagnosis; Evert System (ES); Artificial neutral network (ANN); Aratificial Intelligence (AI);
D O I：
10.1109/AICI.2009.497
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces the new intelligence technology in the transformer fault diagnosis Artificial Intelligence System (TFDAI). An artificial intelligence system design includes selection of input, network topology, synaptic connection weight, and output. TFDAI module structure, data processing and diagnostic techniques are described in detail. It consists of Expert System (ES) and Artificial Neural Network (ANN). This paper covers TFDAI developing and application. It states that artificial intelligence system is very useful tool for transformer early hidden faults achieves the possibility and accuracy of primary diagnosis.
引用
收藏
页码：442 / 445
页数：4
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