A Fault Diagnosis Expert System Based On Production Rule For Power Transformers

Fault diagnosis becomes more and more important to protect the safe, economy and stable operation of the power system, as the core instrument in power system, the running reliability of transformer directly influences the safety of the whole system. To solve the problem of intelligent diagnosis of transformer faults, the author develops expert system with object-oriented method.The key of expert system is to design knowledge base and inference engine. The author introduced the knowledge representation based on production rules and expressed the production rule by relational databases, designed and realized the knowledge base system of transformer fault diagnosis, gave the table digraph of database. According to the characteristics of transformer fault diagnosis, a parallel inference mechanism including fuzzy inference and exact inference is advanced.The author promoted to research production inference by finite state automaton, mapped the concept and structure of production forward inference and-or tree to the concept and structure of finite state automaton, got the mathematic model of production inference—state conversion chart of finite state automaton. Thus production inference could be described and analyzed by formally description using finite state automaton.