APPLICATION OF FUZZY PETRI NETS KNOWLEDGE REPRESENTATION IN ELECTRIC POWER TRANSFORMER FAULT DIAGNOSIS
JI Yan-chao · Proceedings of the CSEE · 2003
As a graph tool, Petri nets can be used to describe most of the relations and behaviors in the discrete event dynamic system. As a mathematical tool, the analysis of behavior properties and performance evaluation can be done conveniently, using net theory and algebraic theory. So it is applied in the field of artificial intelligence more and more widely. A method of Fuzzy Petri Nets(FPN) knowledge representation and its rigorous inference algorithm are proposed in this paper. Fuzzy knowledge representation and matrix operation algorithm of inference using Fuzzy Petri Nets are discussed. For the first time Fuzzy Petri Net is applied in electric power transformer, and it represents relations between fault symptoms and faults. Additionally, conventional expert systems applied to fault diagnosis need to manually build complicated knowledge databases, but Fuzzy Petri Net is very simple and clear. Because it only uses simple matrix calculation based on Petri nets theory, fast and accurate results are obtained. Finally the method of Fuzzy Petri Nets is tested by the application of some samples. It is proved that this method is very fast and accurate .