Research on Complex Equipment Fault Diagnosis Based on Weighted Fuzzy Logic Petri Nets

Currently, to improve the accuracy and efficiency of fault diagnosis using intelligent information technology has become the development trend of fault diagnosis technology. The fault diagnosis technology character of current complex devices was analyzed firstly in the paper. Then, aim at the uncertain reasoning problem in the fault diagnosis, a weighted fuzzy logic reasoning algorithm that is more suitable for practical engineering application was brought out. At the same time, to improve the fault diagnosis efficiency, a formalize algorithm for diagnosis reasoning by use of the parallel process capability of Petri nets was also provided. Finally, an example was used to verify the proposed methods in the paper.