Electric power Transformer Faults Detection Using Artificial Intelligence Techniques
published by Aِl-Baath University
in 2016
in
and research's language is
العربية
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Abstract in English
Through our research we develop an Expert System called
Transformer Fault Detection and abbreviation Exformer, to help
engineers and technical's in detecting and diagnosis of oiled power
transformer faults before it going out of service. We also use Fuzzy
Logic in ambiguous data cases about gas ratios in transformer oil,
which require use of fuzzy rules in knowledge base of expert
system. We also discuss basis of using Artificial Neural Networks
and choose number of layers, number of neurons and suitable neural
network for power transformers faults analysis and compare.
References used
Gross Charles A. 1979- Power System Analysis . John Wiley & Sons
Glover, J. D. & Samara, M. S. 1994– Power System Analysis &Design with personal computer applications. PWS pub. Co. 2nd edition
Hamzeh, A. ,Zaidan, K. 1999– Design and Implementation of an Expert Package for Faults Diagnosis in Power systems.Paper for the 3rd Electrical Engineering Conference , Mutah University Jordan