Volume 7 Number 2 (Feb. 2012)
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JCP 2012 Vol.7(2): 427-432 ISSN: 1796-203X
doi: 10.4304/jcp.7.2.427-432

Analysis on Mean Time between Failures Based on Artificial Neural Network

Heqing Li1, 2, Qing Tan1
1Center South University, Changsha, 410083, China
2Changsha University of Science and Technology, 410076, Changsha, China


Abstract—Aimed at the reparable characteristic of the mechanical product, a method of the reliability model recognition of mean time between failures based on the BP neural network was developed, and a method of parameter estimation of reliability model based on adaptive linear network was proposed by means of theory of artificial neural network with MATLAB and reliability engineering theory. By network test and numerical simulation, reliability model recognition system and reliability parameters estimation system are verified. The results obtained from the simulation is better than those from the reliability paper for the common reliability model in engineering reliability and indicate the method is feasible. According to the method, the distribution model and function of reliability for mean time between failures of mechanical product were gained by this means.

Index Terms—Mean time between failures, model recognition, parameter estimation, artificial neural network.

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Cite: Heqing Li, Qing Tan, "Analysis on Mean Time between Failures Based on Artificial Neural Network," Journal of Computers vol. 7, no. 2, pp. 427-432, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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