Neural Network-Based Reliability Prediction of Free-Running Submarine Model Test System

Abstract:

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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.

Info:

Periodical:

Edited by:

Yongping Zhang, Linhua Zhou and Elwin Mao

Pages:

318-322

DOI:

10.4028/www.scientific.net/AMM.109.318

Citation:

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

Online since:

October 2011

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Price:

$35.00

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