Title :
A fuzzy system for automotive engineering diagnosis
Author :
Lu, Yi ; Chen, Tie-Qi
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA
Abstract :
Describes a fuzzy system that learns engineering diagnostic knowledge and performs fuzzy reasoning. The system has the capability of learning human heuristic knowledge, automatically generating statistical knowledge, and accumulative learning. The system has been implemented in a fuzzy system for engine vacuum leak diagnosis used in the end-of-line test at automobile assembly plants, the implemented system has been tested extensively and its performance is presented
Keywords :
assembling; automobile industry; fault diagnosis; fuzzy logic; fuzzy systems; inference mechanisms; accumulative learning; automobile assembly plants; automotive engineering diagnosis; end-of-line test; engine vacuum leak diagnosis; fuzzy reasoning; fuzzy system; human heuristic knowledge; statistical knowledge; Automobiles; Automotive engineering; Engines; Fuzzy reasoning; Fuzzy systems; Humans; Knowledge engineering; System testing; Systems engineering and theory; Vacuum systems;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.686257
