New approach on comprehensive diagnosis of insulation faults in power transformer

Abstract

Insulation diagnosis of a power transformer is a comprehensive research project that relates theories and knowledge in many different areas. With the development of computer science, the application of expert system, fuzzy logic and artificial neural network on faults diagnosis are possible. However, accomplishing the accurate and comprehensive conclusions is a problem yet unsolved. In this paper, new comprehensive diagnostic scheme is proposed. It enhances the evaluation of diagnostic results as justify by case studies.