Title :
Fuzzy expert system for fault diagnosis of robotic assembly
Author :
Yan, Bo ; Zhang, Tie ; Xie, Cunxi
Author_Institution :
Dept. of Mechatronic Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
Based on the working flow of an automated robotic assembly line, a fuzzy expert system (FES) for fault diagnosis of the assembly line is developed, which contains a user interface, knowledge base, inference engine and history database. The FES adopts a fuzzy forward chaining rule-based reference strategy and can predict the severity of faults according to a certainty factor. In addition, fuzzy logic and linguistic terms are also introduced.
Keywords :
assembling; diagnostic expert systems; fault diagnosis; forward chaining; fuzzy logic; fuzzy systems; industrial robots; inference mechanisms; automated robotic assembly line; certainty factor; fault diagnosis; fuzzy expert system; fuzzy forward chaining rule-based reference strategy; history database; inference engine; knowledge base; user interface; Fasteners; Fault diagnosis; Fixtures; Fuzzy logic; Hybrid intelligent systems; Manipulators; Robotic assembly; Robotics and automation; Robots; Stators;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022148
