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Reliability Analysis of Shiplift Gear Based on System-Level Load-Strength Interference Model

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Abstract:

A reliability analysis method for the shiplift gear according to the system-level load-strength interference model is presented. The gear is regarded as a series system with dependent failure and multiple failure models. Its reliability is obtained by calculating the probability that the minimum order statistic of the strengths exceeds the maximum order statistic of repeated random loads. The load probability distribution of gear is then obtained using Monte Carlo on the basis of load information. The contact strength and bending strength are calculated. On the basis of system-level load-strength interference analysis, system reliability of a gear is straightforward built up. Finally, system reliability of a gear is worked out, which shows a high reliability.

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Periodical:

Advanced Materials Research (Volumes 118-120)

Pages:

354-358

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.118-120.354

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Online since:

June 2010

Authors:

Ying Wu, Li Yang Xie, De Cheng Wang, Ji Zhang Gao

Keywords:

Gear Reliability, Load-Strength Interference Model, Monte-Carlo Simulation, Order Statistics

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] L.Y. Xie, Y.J. Jiang: Failure Analysis and Prevention, Vol. 1, 2006, P. 25.

Google Scholar

[2] L.Y. Xie, Z. Wang, J.Y. Zhou: Mechanical Reliability Design Method, Beijing: Science Press, (2008).

Google Scholar

[3] Z. Wang, L.Y. Xie, B. Li: Journal of Machine Design, Vol. 24, 2007, P. 4.

Google Scholar

[4] S. M. Di, D. Lomario: Composite Structures, Vol. 59, 2003, P. 155.

Google Scholar

[5] M. Mainak, W.C. David, M. Kelvin: Quality Control and Applied Statistics, Vol. 46, 2001, P. 109.

Google Scholar

[6] Y.D. Li, N. Zhang, B.X. Zhang: Journal of Mechanical Strength, Vol. 28, 2006, P. 46.

Google Scholar

[7] L. Xie, J. Zhou, and Y. Wang: International Journal of Performability Engineering, Vol. 1, 2005, P. 22.

Google Scholar

[8] Y.H. Lou, X. Gao: Transactions of the Chinese Society for Agricultural Machinery, Vol. 39, 2008, P. 160.

Google Scholar

[9] Y.B. Guo, W.M. Zhang, G.F. Zhang: Transactions of the Chinese Society for Agricultural Machinery, Vol. 39, 2008, P. 157.

Google Scholar

[10] W.X. Liu: Mechanical Reliability Design. Beijing: Tsing-hua University Press, China, (1996).

Google Scholar

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