A Fault Diagnostic System of Power Transformer Based on Multi Artificial Intelligence

摘要

Among the development and application of artificial intelligence in fault diagnosis of power transformer, expert system using several AI methods is an effective technology that may help to finish the fault analysis. This paper presents an expert system for transformer fault diagnosis. Some algorithms such as expert system, artificial neural network, case-based reasoning and rough set theory are used in it. The advantages of each algorithm are assembled and the shortcomings of each single method are addressed, so a better accuracy is offered. Furthermore, the successful conventional method was combined with the AI method, and based on the web technology it can be also used for the remote diagnosis. It had been used in power utilities and shows that the present system is effective.