Failure Mode Mitigation Process of Complex Products Orienting to the Achievement of RMS Index

Zheng Ping Chen; De Zhen Yang; Lin Lin Liu

doi:10.4028/www.scientific.net/AMR.909.365

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 909Failure Mode Mitigation Process of Complex...

Failure Mode Mitigation Process of Complex Products Orienting to the Achievement of RMS Index

Abstract:

Failure mode mitigation process is vague, unfocused, and its effects on RMS index are not clear for complex product development. Firstly, a complete failure mode mitigation closure process and an approach of failure mode mitigation basing on logic decision were proposed. Secondly, the effect models of failure mode mitigation on RMS index were established, and the decision model of the failure mode mitigation order through the rough set theory was put forward. Finally, an example of the fuel system is given to validate the approach and models. The paper proved that the relationship between the achievement process of RMS index.

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Periodical:

Advanced Materials Research (Volume 909)

Pages:

365-370

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.909.365

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Online since:

March 2014

Authors:

Zheng Ping Chen*, De Zhen Yang, Lin Lin Liu

Keywords:

Decision-Making, Failure Mode Mitigation, RMS Index, Rough Set (RS)

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* - Corresponding Author

References

[1] Fan Ye, Tim Kelly. Component Failure Mitigation According to Failure Type[A]. IEEE, the 28th COMPSAC, (2004).

DOI: 10.1109/cmpsac.2004.1342841

Google Scholar

[2] Mitilineoset al. On Array Failure Mitigation With Respect to Probability of Failure, Using Constant Excitation Coefficients and a Genetic Algorithm[J]. IEEE Antennas and wireless propagation letters, 2006(5).

DOI: 10.1109/lawp.2006.874068

Google Scholar

[3] IAEA. Fuel failure in water reactors: Causes and mitigation [M]. IAEA-TECDOC-1345, (2003).

Google Scholar

[4] Shubha Elizabeth Avirah, Anil Kumar Singh. Failure mitigation of semi active multi beam antenna array for portable surveillance radar using genetic algorithm[A]. IEEE, RADAR' 08.

DOI: 10.1109/radar.2008.4720749

Google Scholar

[5] GEIA-STD-0009 Reliability Program Standard for Systems Design, Development, and Manufacturing[S].

Google Scholar

[6] Wang Zili, Zhao Tingdi. Safety design analysis and verification[M]. Beijing: National Defense Industry Press, 2011(in Chinese).

Google Scholar

[7] GJB 4355-2002. Spares provisioning requirements[S](in Chinese).

Google Scholar

[8] Wang Guoyin, Yao Yiyu, Yu Hong. A survey on rough set theory and application[J]. Chinese Journal of Computers, 2009(7): 1229-1246.

Google Scholar

[9] Pawlak Z. Rough Sets: Theoretical aspects of reasoning about data[M]. Boston: Kluwer Academic Publishers. (1991).

Google Scholar