Title :
Application of rough sets to fault diagnoses
Author :
Sun, Zonghai ; Sun, Youxian
Author_Institution :
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
A fault diagnosis inference model was built based on the advantages of effectively simple decision rules and the easy reality of rough sets. Rough sets were applied to the fault diagnosis of a tank reactor. It simplifies the diagnosis rules without affecting the diagnosis.
Keywords :
chemical technology; fault diagnosis; inference mechanisms; rough set theory; decision rules; fault diagnosis inference model; rough sets; tank reactor; Automation; Database systems; Inductors; Industrial control; Intelligent control; Laboratories; Rough sets; Sun;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020019
