Knowledge Acquisition for Fault Diagnosis Based on the Integration of Genetic Algorithm and Rough Set
Ying-Hong Liang · Journal of Suzhou Vocational University · 2009
An integrated strategy of rough set and genetic arithmetic was proposed on the base of analyzing the method of fault diagnosis,and the model for knowledge acquired of this strategy was established. This model introduced rough set theory into feature selection for fault diagnosis,which could solve the problem that the classification boundary of real fault diagnosis data sets is often ambiguous. Then genetic arithmetic was used for extraction the rules of fault diagnosis. By a fault diagnosis example,this paper validated the method. The result shows that this method can efficiently extract the main fault features while the fault classification result is invariable.