Diagnosis System of Axletree Fault Based on Rough Sets and Fuzzy Support Vector Machines
Yuan Sheng-jiang · Computer Knowledge and Technology · 2010
Considering the ability of rough sets theory on reduction of decision system and that of fuzzy support vector machines for classification,a diagnosis system of axletree fault based on rough sets and fuzzy support vector machines is proposed.Firstly,the continuous attributes data in diagnostic decision system are discretized.Then,reducts are found based on rough sets theory,and the key conditions for diagnosis are determined.Lastly,according to the chosen reduct,the multi-class fuzzy support vector machines are designed for fault diagnosis.The diagnosis of a diesel demonstrates that the system can reduce the cost of diagnosis greatly.And it verifies the feasibility of the engineering application.