A new non-probabilistic time-dependent reliability model for mechanisms with interval uncertainties

Qi Chang, Changcong Zhou, Pengfei Wei, Yishang Zhang and Zhufeng Yue

Reliability Engineering and System Safety, 2021, vol. 215, issue C

Abstract: This paper proposes a new non-probabilistic time-dependent reliability model for evaluating the kinematic reliability of mechanisms when the input uncertainties are characterized by intervals. Based on the introduction of the non-probabilistic interval process of motion error, the most probable point of an outcrossing is defined to transform the complicated time-dependent problem into a concisely time-independent problem. A non-probabilistic time-dependent reliability index is proposed to evaluate the kinematic reliability of various mechanisms, and two computational strategies are designed to calculate the index. Then, the proposed reliability model is applied to a numerical example, a typical four-bar linkage mechanism and a car rack-and-pinion steering linkage mechanism, to demonstrate the significance of the proposed reliability model. The results show that the proposed model provides an effective tool for making reliability evaluation of time-dependent problems.

Keywords: Mechanism; Time-dependent reliability; Motion error; Non-probabilistic; Interval process (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021002982

DOI: 10.1016/j.ress.2021.107771

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