The Method Combining Rough Set and Decision Tree in Fault Diagnosis
Jinyan Shi · Journal of Zhengzhou University of Technology · 2003
The principle and the basic idea of data mining method used in fault diagnosis are presented. Reduced fault data set is obtained after filtered redundant attributes by rough set theory from a mass of fault data. Then the decision tree wiss constructed on the basis of the data set, rules for classification are generated and the steps of getting rules are shown through one instance. It can be concluded that combining rough set theory and decision tree can be practicably used in fault diagnosis from the instance. Finally, some difficulties of this technology in practical application are mentioned.