Decision rules analysis for induction motor fault diagnosis based on rough set theory
Zhao Yueling, Wang Yingli · 2008
In order to extract simple and effective diagnostic rules from inconsistent diagnostic information, the method of fault diagnosis based on rough set theory is proposed. The efficiency of diagnostic rules is improved by pruning rules with certainty factor and introducing the coverage factor of decision rules to remove redundant information effectively. The availability of this method is proved by a fault diagnosis example of induction motor.