Paper Title:
Neural Network-Based Reliability Prediction of Free-Running Submarine Model Test System
  Abstract

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
Chapter
Chapter 4: Manufacturing and Mechanics Engineering
Edited by
Yongping Zhang, Linhua Zhou and Elwin Mao
Pages
318-322
DOI
10.4028/www.scientific.net/AMM.109.318
Citation
O. Liu, W. Wang, C. H. Yang, "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
$32.00
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