Title :
Fault detection and diagnosis of a certain type of discrete manufacturing system
Author :
Zhen, Xue ; Qidi, Wu
Author_Institution :
Shanghai Tsiogina Wintone, China
Abstract :
In this paper, we discuss fault detection and diagnosis issues for discrete manufacturing systems. An enhanced Petri net is used to model a real plant. This model is especially appropriate to the systems controlled by PLC. By means of this model, the cause of failure is automatically searched, so that the diagnostic task of a complicated system can be successfully executed by the computer. The method developed in this paper has been demonstrated and proved by computer simulation, and it is a general method for other control levels of an automated manufacturing system
Keywords :
Petri nets; discrete event simulation; fault diagnosis; knowledge based systems; production control; discrete manufacturing system; enhanced Petri net model; fault detection; fault diagnosis; production control; rule based system; Automatic control; Computer integrated manufacturing; Control systems; Fault detection; Fault diagnosis; Machine tools; Manufacturing systems; Productivity; Programmable control; Robot sensing systems;
Conference_Titel :
Industrial Technology, 1994., Proceedings of the IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
0-7803-1978-8
DOI :
10.1109/ICIT.1994.467149
