Application of One Combined Algorithm in Diesel Engine Fault Diagnosis System Based on Rough Set and Grey Theory
Yansheng Lu · Journal of Chinese Computer Systems · 2010
One attribute reduction method for fault diagnosis was proposed based on rough set and grey theory.First,the fault diagnosis conditional attributes were reduced using rough set description algorithm,then the grey correlation coefficient was calculated based on algorithm of grey correlation degree,further more the importance among the conditional attributes in the reduction set was decided,and finally the optimal attribute reduction set was obtained.When this method was applied in diesel engine fault diagnosis system,the optimum attribute reduction set had acquired,and the system running test carried out successfully for fault diagnosis.