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Time domain series system definition and gear set reliability modeling

Author

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  • Xie, Liyang
  • Wu, Ningxiang
  • Qian, Wenxue

Abstract

Time-dependent multi-configuration is a typical feature for mechanical systems such as gear trains and chain drives. As a series system, a gear train is distinct from a traditional series system, such as a chain, in load transmission path, system-component relationship, system functioning manner, as well as time-dependent system configuration. Firstly, the present paper defines time-domain series system to which the traditional series system reliability model is not adequate. Then, system specific reliability modeling technique is proposed for gear sets, including component (tooth) and subsystem (tooth-pair) load history description, material priori/posterior strength expression, time-dependent and system specific load-strength interference analysis, as well as statistically dependent failure events treatment. Consequently, several system reliability models are developed for gear sets with different tooth numbers in the scenario of tooth root material ultimate tensile strength failure. The application of the models is discussed in the last part, and the differences between the system specific reliability model and the traditional series system reliability model are illustrated by virtue of several numerical examples.

Suggested Citation

  • Xie, Liyang & Wu, Ningxiang & Qian, Wenxue, 2016. "Time domain series system definition and gear set reliability modeling," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 97-104.
    • Handle: RePEc:eee:reensy:v:155:y:2016:i:c:p:97-104
    DOI: 10.1016/j.ress.2016.06.009
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    Cited by:

    1. Lyu, Dong & Si, Shubin, 2021. "Importance measure for K-out-of-n: G systems under dynamic random load considering strength degradation," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Zhou, Di & Pan, Ershun & Zhang, Xufang & Zhang, Yimin, 2020. "Dynamic Model-based Saddle-point Approximation for Reliability and Reliability-based Sensitivity Analysis," Reliability Engineering and System Safety, Elsevier, vol. 201(C).

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