Neural Network-Based Reliability Prediction of Free-Running Submarine Model Test System
In response to the issue that FMECA and FTA analysis in the initial experimental and testing stage of free-running submarine model cannot satisfy the actual requirements, a method based on BP neural network is proposed to conduct reliability prediction of free-running submarine models. By inputting the established parameters of free-running submarine models (MTBF) as a BP neural network into neurons and by training the network, the purpose of predicting the reliability of free-running submarine model test system was fulfilled. The simulation results show that the method is effective, feasible and practically meaningful, producing smaller prediction errors.
Yongping Zhang, Linhua Zhou and Elwin Mao
O. Liu et al., "Neural Network-Based Reliability Prediction of Free-Running Submarine Model Test System", Applied Mechanics and Materials, Vol. 109, pp. 318-322, 2012