Diesel Engine Fault Diagnosis Based on Rough Set and Support Vector Machine
Geng Wei-ya · Jisuanji fangzhen · 2012
In order to improve the precision of diesel engine fault diagnosis,this paper put forward a diesel engine fault diagnosis algorithm based on rough set and support vector machine.Rough set was used to reduce diesel engine fault feature attributes to eliminate the redundant information and then support vector machine especifically for small samples was used to dagnosis the defaults of diesel engine,and lastly the performaces of the diesel engine fault diagnosis algorthm were tested by simulation experiment.The test results show that the proposed algorthm has improved the accuracy and efficiency of the diesel engine fault diagnosis for diesel engine,and it provides a reference for fault location and analysis.