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Dynamic reliability modeling for system analysis under complex load

Author

Listed:
  • Zhang, Xiaoqiang
  • Gao, Huiying
  • Huang, Hong-Zhong
  • Li, Yan-Feng
  • Mi, Jinhua

Abstract

The traditional stress-strength interference (SSI) model regards the strength and the stress as two continuous random variables, but in practical engineering, the strength may be a stochastic degradation process. Besides continuous working load, a mechanical system often suffers from shock loads as well. How to calculate the dynamical reliability under complex load is a challenge that needs to be resolved. This paper proposes a generalized dynamic reliability model for the calculation of system reliability under complex load. The proposed model is available for system reliability problems under deterministic strength degradation or stochastic strength degradation processes. Six sigma and Gauss-Legendre quadrature formula are adopted to calculate the system reliability. A case study under three different conditions is presented to illustrate the application of the proposed model. The accuracy of the proposed method is compared with MCS.

Suggested Citation

  • Zhang, Xiaoqiang & Gao, Huiying & Huang, Hong-Zhong & Li, Yan-Feng & Mi, Jinhua, 2018. "Dynamic reliability modeling for system analysis under complex load," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 345-351.
    • Handle: RePEc:eee:reensy:v:180:y:2018:i:c:p:345-351
    DOI: 10.1016/j.ress.2018.07.025
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    References listed on IDEAS

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    1. Park, Jae-Hyun, 2017. "Time-dependent reliability of wireless networks with dependent failures," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 47-61.
    2. John J. Coleman, 1959. "Reliability of Aircraft Structures in Resisting Chance Failure," Operations Research, INFORMS, vol. 7(5), pages 639-645, October.
    3. Mi, Jinhua & Li, Yan-Feng & Yang, Yuan-Jian & Peng, Weiwen & Huang, Hong-Zhong, 2016. "Reliability assessment of complex electromechanical systems under epistemic uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 1-15.
    4. Wang, Zequn & Wang, Pingfeng, 2015. "A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 346-356.
    5. Li, Xiang-Yu & Huang, Hong-Zhong & Li, Yan-Feng, 2018. "Reliability analysis of phased mission system with non-exponential and partially repairable components," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 119-127.
    6. Mi, Jinhua & Li, Yan-Feng & Peng, Weiwen & Huang, Hong-Zhong, 2018. "Reliability analysis of complex multi-state system with common cause failure based on evidential networks," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 71-81.
    7. Christos H. Skiadas & Charilaos Skiadas, 2015. "Exploring the State of a Stochastic System via Stochastic Simulations: An Interesting Inversion Problem and the Health State Function," Methodology and Computing in Applied Probability, Springer, vol. 17(4), pages 973-982, December.
    8. Yan-Feng Li & Jinhua Mi & Yu Liu & Yuan-Jian Yang & Hong-Zhong Huang, 2015. "Dynamic fault tree analysis based on continuous-time Bayesian networks under fuzzy numbers," Journal of Risk and Reliability, , vol. 229(6), pages 530-541, December.
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