Title :
Application of Rough Set in the Construction of Optimized Fault Diagnosis Network
Author_Institution :
Sch. of Comput. Sci. & Eng., Jiangsu Teachers Univ. of Technol. (JTUT), Changzhou, China
Abstract :
On the basis of research of the fault diagnosis network based on rough set, optimized fault diagnosis network is proposed in this paper, it effectively makes up the original fault diagnosis network shortages. the rules of each node are simpler and the amount of the rules is decreased. the problem of repetition of matching same rules is avoided by the adjustment of the rule sets of each node. When the accuracy is same, the rules with high utilization frequency will be used at first, which effectively reduce the time of finding rules.
Keywords :
fault diagnosis; rough set theory; node rule sets; optimized fault diagnosis network construction; rough set theory; Accuracy; Cognition; Educational institutions; Fault diagnosis; Rotating machines; Rotors; Time frequency analysis; fault diagnosis; rough set; rule sets;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.187