Diagnosis System of Machinery Fault Based on Rough Sets and Support Vector Machines
Yuan Sheng-jiang · Microcomputer Development · 2005
Considering the ability of rough sets theory on reduction of decision system and that of support vector machines for classification,a diagnosis system of machinery fault based on rough sets and 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 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.