Fault Diagnosis Method of Rotating Machinery Based on Rough Set Theory
Zhan Xiang-sen · Power engineering · 2004
Rough set theory is a new method for analyzing and dealing with uncertain and incomplete data. By using rough set theory, decision table can be simplified and redundant attributes can be cut off. According to a vibration fault database, a rotating machinery fault diagnosis approach based on rough set theory is proposed in this paper. The spectrum symptoms are calculated and reducted and rules generated from the reduct. The rules are used to diagnosis some fault examples. It shows that rough set theory can cut off unimportant factor with the class capability unchanged. The result also shows that the rules are mostly reliable. Tables 5 and refs 8.