Title :
A research on fault diagnostic expert system based on fuzzy Petri nets for FMS machining cell
Author :
Jing, Qiu ; Xisen, We ; Zhihua, Peng ; Yongcheng, Xu
Author_Institution :
Dept. of Mech. Eng. & Instr., Nat. Univ. of Defense, Hunan, China
Abstract :
In view of the fuzziness and the uncertainty of expert knowledge in fault diagnosis expert system for the flexible manufacturing cell (FMC), this paper presents fuzzy production rule (FPR) knowledge representation and storage using fuzzy Petri nets (FPN) model, and their reasoning mechanism and algorithm implementation. Based on these, taking the FFS-1500-2 FMC as an object, by acquiring the PLC data online, analyzing the logic relations of each signal of PLC ladder-shaped graph and the hardware of FMC in detail, and especially combining the information of a multisensor condition monitoring and synthetic decision system, expert and user experience knowledge, a fault diagnostic expert system has been built up. A detailed reasoning illustration about the spindle servo fault is presented that has proved the feasibility and the validity of the FPN diagnosis system
Keywords :
Petri nets; data acquisition; diagnostic expert systems; expert systems; flexible manufacturing systems; fuzzy set theory; knowledge representation; machining; FFS-1500-2 FMC; FMS machining cell; FPR knowledge representation; PLC data acquisition; PLC ladder-shaped graph; expert knowledge; fault diagnostic expert system; flexible manufacturing cell; fuzzy Petri nets; fuzzy production rule knowledge representation; knowledge storage; multisensor condition monitoring system; online data acquisition; spindle servo fault; synthetic decision system; uncertainty; Diagnostic expert systems; Fault diagnosis; Flexible manufacturing systems; Fuzzy reasoning; Fuzzy systems; Hybrid intelligent systems; Programmable control; Pulp manufacturing; Uncertainty; Virtual manufacturing;
Conference_Titel :
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-3104-4
DOI :
10.1109/ICIT.1996.601554
