An Analytical Model of Interactive Coefficients of Multiple Systems

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Abstract:

Dependent failures of machines may take many forms. Interactive failure is one type of the dependent failures happening among multiple subsystems. The interactive coefficient is represented by the degree of interaction between two subsystems, but it cannot be estimated in intricate interactive relationship among multiple subsystems by now. In order to solve the problem, the failure chains of the interactive failure are classified into five types in this paper and all the elements in it are defined. Then the interactive coefficient models are developed for all failure chains according to the relationship among the interactive failure rate, the independent failure rate and the dependent failure rate. The estimation of the interactive coefficient is based on failure rate equation. The results offer a solution to the problem that the interactive coefficient of multiple systems cannot be calculated. These findings provide a method to predict and design the reliability of mechanical equipment more accuracy as well as guide to optimize scheduled for the maintenance of mechanical equipment.

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Advanced Materials Research (Volumes 1030-1032)

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1292-1295

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Greig G. L. Second moment reliability analysis of redundant systems with dependent failures[J]. Reliability Engineering & System Safety 1993; 41( 1): 57-70.

DOI: 10.1016/0951-8320(93)90018-t

Google Scholar

[2] Mosleh A. Common cause failures: an analysis methodology and examples[J]. Reliability Engineering & System Safety1991; 34(3): 249-292.

DOI: 10.1016/0951-8320(91)90104-f

Google Scholar

[3] Narmada s, Jacob M. Reliability analysis of a complex system with a deterioration standby unit under common-cause failure and critical human error[J]. Microelectronics Reliability 1996; 36(9): 1287–1290.

DOI: 10.1016/0026-2714(95)00132-8

Google Scholar

[4] Ro´mulo I. Z, Christophe B. On the inspection policy of a two-component parallel system with failure interaction[J]. Reliability Engineering and System Safety2005; 88(1): 99-107.

DOI: 10.1016/j.ress.2004.07.009

Google Scholar

[5] Sun Y, Ma L, Mathew J, etal. An analytical model for interactive failures[J]. Reliability Engineering &system safety2006; 91(5): 495-504.

DOI: 10.1016/j.ress.2005.03.014

Google Scholar

[6] Sun Y, Ma L. Estimate of interactive coefficients[R]. Proceedings of the ICRMS -Reliability, Maintainability and Safety2009. chengdu: CRC for Integrated Engineering Asset Management 2009; IEEE: 310-314.

Google Scholar

[7] Wang W.D. Reliability importance of components in a complex system[R]. Proceedings of Annual Reliability and Maintainability Symposium (RAMS). Los Angeles, USA; (2004).

DOI: 10.1109/rams.2004.1285415

Google Scholar

[8] Zhou W, Wang D. F, Liu Y.J. Allocation Optimization Model for Spare Parts Concerned with Dependent failure[J]. Systems Engineering and Electronics2011;33(10): 2339-2342.

Google Scholar