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

fYear

1996

fDate

2-6 Dec 1996

Firstpage

122

Lastpage

125

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-3104-4

Type

conf

DOI

10.1109/ICIT.1996.601554

Filename

601554