Abstract:

Fault diagnosis is often affected by many uncertain and fuzzy factors. In view of the uncertain fault diagnosis, an intuitionistic fuzzy Petri net model is constructed by considering that intuitionistic fuzzy sets can better express uncertainty information and Petri networks has strong parallel processing and graphics processing ability. Because nonmembership parameters are involved when Intuitionistic fuzzy reasoning is transformed into matrix operations, the reasoning result can offer more information. According to the actual fuzzy inference problem in the process of fault diagnosis, a new fuzzy reasoning algorithm with weights, threshold value parameters is given. Through obtaining and processing the uncertain and fuzzy knowledge in the process of fault diagnosis, the algorithm converts the fault diagnosis to intuitionistic fuzzy reasoning by using intuitionistic fuzzy Petri nets. The actual gas turbine fault diagnosis model shows that the intuitionistic fuzzy reasoning algorithm is effective.

Key words: intuitionistic fuzzy set;intuitionistic fuzzy Petri nets;intuitionistic fuzzy reasoning;fault diagnosis