Research on Method of Electronic Equipment Fault Prediction

As the new intelligent method was applied constantly to the fault predication field, the technology of fault predication has already become the key direction of electronic equipment support studies. On the basis of summarizing several kinds of more common fault predication method modernly, Support Vector Regression (SVR) was introduced. To avoid the blind establishment of the parameter, this study proposes intelligent genetic algorithms for optimizing the SVR´s parameters, then the SVR model which had been set up was apply to a type of electronic equipment fault prediction. Finally, we adopt the number of a set of equipment condition monitoring data to verify the SVR model. The experimental result demonstrated that SVR model can predict the radar fault effectively.