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An analytical model for interactive failures

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  • Sun, Yong
  • Ma, Lin
  • Mathew, Joseph
  • Zhang, Sheng

Abstract

In some systems, failures of certain components can interact with each other, and accelerate the failure rates of these components. These failures are defined as interactive failure. Interactive failure is a prevalent cause of failure associated with complex systems, particularly in mechanical systems. The failure risk of an asset will be underestimated if the interactive effect is ignored. When failure risk is assessed, interactive failures of an asset need to be considered. However, the literature is silent on previous research work in this field. This paper introduces the concepts of interactive failure, develops an analytical model to analyse this type of failure quantitatively, and verifies the model using case studies and experiments.

Suggested Citation

  • Sun, Yong & Ma, Lin & Mathew, Joseph & Zhang, Sheng, 2006. "An analytical model for interactive failures," Reliability Engineering and System Safety, Elsevier, vol. 91(5), pages 495-504.
    • Handle: RePEc:eee:reensy:v:91:y:2006:i:5:p:495-504
    DOI: 10.1016/j.ress.2005.03.014
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    References listed on IDEAS

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    1. Percy, David F., 2002. "Bayesian enhanced strategic decision making for reliability," European Journal of Operational Research, Elsevier, vol. 139(1), pages 133-145, May.
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    Cited by:

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    2. Oleg Gubarevych & Stanisław Duer & Inna Melkonova & Marek Woźniak & Jacek Paś & Marek Stawowy & Krzysztof Rokosz & Konrad Zajkowski & Dariusz Bernatowicz, 2023. "Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors," Energies, MDPI, vol. 16(19), pages 1-21, September.
    3. Xiaosheng Zhang & Jianqiao Chen & Ben Han & Junxiang Li, 2019. "Multi-mission selective maintenance modelling for multistate systems over a finite time horizon," Journal of Risk and Reliability, , vol. 233(6), pages 1040-1059, December.
    4. Chen, Rentong & Zhang, Chao & Wang, Shaoping & Zio, Enrico & Dui, Hongyan & Zhang, Yadong, 2023. "Importance measures for critical components in complex system based on Copula Hierarchical Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    5. Meango, Toualith Jean-Marc & Ouali, Mohamed-Salah, 2020. "Failure interaction model based on extreme shock and Markov processes," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    6. Yifan Chen & Genbao Zhang & Yan Ran, 2019. "Risk Analysis of Coupling Fault Propagation Based on Meta-Action for Computerized Numerical Control (CNC) Machine Tool," Complexity, Hindawi, vol. 2019, pages 1-11, July.
    7. Li, Mingyang & Liu, Jian & Li, Jing & Uk Kim, Byoung, 2014. "Bayesian modeling of multi-state hierarchical systems with multi-level information aggregation," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 158-164.
    8. Tazi, Nacef & Châtelet, Eric & Bouzidi, Youcef, 2018. "How combined performance and propagation of failure dependencies affect the reliability of a MSS," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 531-541.
    9. Wei Peng & Xiaoling Zhang & Hong-Zhong Huang, 2016. "A failure rate interaction model for two-component systems based on copula function," Journal of Risk and Reliability, , vol. 230(3), pages 278-284, June.
    10. Vimal Vijayan & Sanjay K Chaturvedi & Ritesh Chandra, 2020. "A failure interaction model for multicomponent repairable systems," Journal of Risk and Reliability, , vol. 234(3), pages 470-486, June.
    11. Liu, Yu & Liu, Qinzhen & Xie, Chaoyang & Wei, Fayuan, 2019. "Reliability assessment for multi-state systems with state transition dependency," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 276-288.
    12. Pol, Johannes C. & Kindermann, Paulina & van der Krogt, Mark G. & van Bergeijk, Vera M. & Remmerswaal, Guido & Kanning, Willem & Jonkman, Sebastiaan N. & Kok, Matthijs, 2023. "The effect of interactions between failure mechanisms on the reliability of flood defenses," Reliability Engineering and System Safety, Elsevier, vol. 231(C).

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