Title :
Study on a knowledge based expert system for diagnosing casting defects
Author_Institution :
Dept. of Atomation, Maoming Coll., Guandong, China
Abstract :
A knowledge based expert system for diagnosing casting defects is developed by using artificial intelligence technology. The knowledge base of the system is formed by the production rules. The uncertain problem of knowledge is solved using the forward-backward inference control strategy and certainty theory. The defect diagnosis of casting is realized according to the human expert´s mode of thinking. The knowledge representation, inference technology and composition of the system are mainly discussed in the paper.
Keywords :
diagnostic expert systems; inference mechanisms; knowledge representation; artificial intelligence technology; casting defects diagnosis; certainty theory; forward-backward inference control strategy; inference technology; knowledge based expert system; knowledge representation; production rule; uncertain problem; Artificial intelligence; Automation; Casting; Diagnostic expert systems; Educational institutions; Expert systems; Humans; Knowledge representation; Production systems;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022150
