FUZZY PETRI NET FOR FAULT DIAGNOSIS
Wuyanfang; Wei Zhongxin.(Department of Mechanical Engineering, Nanjing University ofAeronautics and Astronautics, Nanjing, China, 210016)
Because of the stochastic property of fault occurrence and fuzziness offault phenomenon, machine fault diagnosis technique in use, such as fault tree analysis,cause consequence tree method, etc., cannot exactly describe the properties of fault phe-nomenon and coherence of fault space. In this paper, based on the theory of generalPetri net, fault tree technique and theory of fuzzy set, a theory system of fuzzy Petri net(FPN) suitable for fault diagnosis is established, which is applied to an example of faultdiagnosis for FMS. This method has the properties of of rbjectivity, strong expressionability, easy inference, etc., which can solve the problems of stochastic property andfuzziness of fault.
【CateGory Index】： TP393