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

Author

Yang Qi-ping ; Li Meng-qun ; Mu Xue-Yun ; Wang Jun

Author_Institution

Shanghai Univ. of Electr. Power, Shanghai, China

Volume

4

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

442

Lastpage

445

Abstract

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.

Keywords

expert systems; fault diagnosis; network topology; neural nets; power engineering computing; power transformer protection; artificial intelligence system; artificial neural network; data processing; diagnostic techniques; expert system; network topology; power transformer fault diagnosis; synaptic connection weight; Artificial intelligence; Computational intelligence; Fault diagnosis; Power transformers; Artificial Intelligence; Artificial neutral network; Expert System; Power Transformer fault diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.497

Filename

5376285