Development of an Artificial Intelligent Diagnosis System for Transformer Fault

Abstract

This paper introduces Artificial Intelligence System method and describes the developing and application in transformer fault diagnosis. An artificial intelligent system (TFDAI) design includes selection of input, network topology, synaptic connection weights, two-passageway, and output. This paper introduces the new intelligence technology in the transformer fault diagnosis -TFDAI System. TFDAI based data processing and diagnostic techniques are described in detail. It consists of Expert system (ES ), Artificial Neural Network (ANN), Guide-rule, Two-passageway and their characteristics are presented. This paper mentions the two-passageway structure of the Artificial Intelligence System and with practical examples. Es and ANN are connected by the two-passageway effectively. It states that artificial intelligence System for transformer early hidden faults achieves the possibility and accuracy of primary diagnosis.