Study on Real-Time Intelligent Fault Diagnosis System Based on Genetic NN and Information Fusion
Chen Deng-ke · Ship & Ocean Engineering · 2010
The method of clustering analysis and algorithm of genetic optimization was introduced to traditional BP neural-network to reduce training difficulty of BP neural-network and increase training precision.The D-S evidence theory was used to analyze conclusions in order to utilize diagnosis result of each diagnosis cell effectively.The simulation test validated that this fault diagnosis system can diagnose fault rapidly,exactly and reliably.