Reliability analysis for dependent competing failure of harmonic drive with strength failure and stiffness degradation failure
ISSN: 0264-4401
Article publication date: 17 May 2021
Issue publication date: 7 December 2021
Abstract
Purpose
The purpose of this paper is to analyze the dependent competing failure reliability of harmonic drive (HD) with strength failure and degradation failure.
Design/methodology/approach
Based on life tests and stiffness degradation experiments, Wiener process is used to establish the accelerated performance degradation model of HD. Model parameter distribution is estimated by Bayesian inference and Markov Chain Monte Carlo (MCMC) and stiffness degradation failure samples are obtained by a three-step sampling method. Combined with strength failure samples of HD, copula function is used to describe the dependence between strength failure and stiffness degradation failure.
Findings
Strength failure occurred earlier than degradation failure under high level accelerated condition; degradation failure occurred earlier than strength failure under medium- or low-level accelerated condition. Gumbel copula is the optimum copula function for dependence modeling of strength failure and stiffness degradation failure. Dependent competing failure reliability of HD is larger than independent competing failure reliability.
Originality/value
The reliability evaluation method of dependent competing failure of HD with strength failure and degradation failure is first proposed. Performance degradation experiments during accelerated life test (ALT), step-down ALT and life test under rated condition are conducted for Wiener process based step-down accelerated performance degradation modeling.
Keywords
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 51675407).
Citation
Zhang, X., Jiang, G., Zhang, H., Yun, X. and Mei, X. (2021), "Reliability analysis for dependent competing failure of harmonic drive with strength failure and stiffness degradation failure", Engineering Computations, Vol. 38 No. 10, pp. 3645-3672. https://doi.org/10.1108/EC-09-2020-0534
Publisher
:Emerald Publishing Limited
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