Journal of Northeastern University ›› 2011, Vol. 32 ›› Issue (8): 1165-1168.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Truncated order statistics model for the reliability of common cause failure systems

Wu, Ying (1); Xie, Li-Yang (1); Li, Jin-Dong (2); Li, Bing (3)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China; (2) Shenyang Machine Tool (Group) Design and Research Institute Co. Ltd., Shenyang 110142, China; (3) Huzhou Teachers College, Huzhou 313000, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Wu, Y.
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Abstract: According to the common cause failure mechanism and the conception of order statistics, by means of the mapping relation between sample strength distribution in a system and order statistics, new system reliability models are proposed on the basis of load-strength interference theory and two-end truncated order statistics for serial, parallel and k-out-of-n (F) voting systems, respectively. The Monte Carlo simulation validates the correctness of the proposed models. Reliability calculated by the two-end truncated order statistics model is more accordant with the actual reliability of a mechanical system, compared with that obtained by traditional independent failure models and common cause failure models.

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