Research of Electronic Equipment Fault Diagnosis Algorithm Based on RBF Neural Network

This paper proposes an algorithm of failure diagnosis for electronic device. This algorithm can train existed failure diagnosis parameter sample sets, analysis internal relationship of diagnosis parameters and obtain the final result for device diagnosis, which achieves diagnosis adaptation about further sample parameter of device failure diagnosis. The advantage of algorithm is to optimize training process and control result of empirical function due to considering the prediction accuracy and training time of RBF in the constructing process.