Title :
fault diagnosis mODEL based on weight Fuzzy Colored Petri NeT
Author :
Dai Min ; Xie Chun
Author_Institution :
Sch. of Comput., Civil Aviation Flight Univ. of China, Guanghan, China
Abstract :
To solve the problem of classic Petri net can not describe the complex relations between the fault and its cause, the fuzzy logical theory, the weight and colored Petri net were combined to form a new formalized method for diagnosis and a constructing method for constructing the fault diagnose model is proposed, and the algorism for using the model to diagnose the fault is also put forward. Finally, an instance of FMS is analysis, and the result proves the model in this paper can predict precisely of the fault and it can be regarded as a feasible and applicable.
Keywords :
Petri nets; fault diagnosis; fuzzy logic; fuzzy set theory; reliability theory; FMS; fault diagnosis model; fuzzy logical theory; weight fuzzy colored Petri net; Lead; Robots; Colored Petri Net; Diagnosis; Fault; Fuzzy theory; Weight;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6308919
