Equipment Fault Diagnosis Based on Improved BP Neural Network and D-S Evidence Theory
Chen Guo-yin · Shipboard Electronic Countermeasure · 2010
Aiming at the characteristics of radar intelligence system such as the complicated structure and various equipments,this paper studies the fault diagnosis means based on BP neural network,gives an improved algorithm combining the alter-learn rate with appending momentum,establishes a fault synthesis diagnosis model based on improved BP neural network and D-S evidence theory inference.By the calculation example,the feasibility and availability of this diagnostic method are verified.