Reliability modeling for degradation-shock dependence systems with multiple species of shocks

Gao, Hongda; Cui, Lirong; Qiu, Qingan

doi:10.1016/j.ress.2018.12.011

Cited by 92 publications

(37 citation statements)

References 33 publications

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“…Wang et al [17] proposed a compound negative binomial distribution with mutative termination conditions and applied this new distribution to study shock models. Gao et al [7] developed reliability models for systems or devices subject to dependent competing soft and hard failure processes with degradation-shock dependences. Qiu and Cui [14] developed a novel mission abort policy for systems experiencing both internal failure and external shocks.…”

Section: Introductionmentioning

confidence: 99%

A New Shock Model With a Change in Shock Size Distribution

Eryılmaz

Kan

2019

Prob. Eng. Inf. Sci.

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For a system that is subject to shocks, it is assumed that the distribution of the magnitudes of shocks changes after the first shock of size at least d1, and the system fails upon the occurrence of the first shock above a critical level d2 (> d1). In this paper, the distribution of the lifetime of such a system is studied when the times between successive shocks follow matrix-exponential distribution. In particular, it is shown that the system's lifetime has matrix-exponential distribution when the intershock times follow Erlang distribution. The model is extended to the case when the system fails upon the occurrence of l consecutive critical shocks.

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Section: Introductionmentioning

confidence: 99%

A New Shock Model With a Change in Shock Size Distribution

Eryılmaz

Kan

2019

Prob. Eng. Inf. Sci.

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“…Fan et al [26] developed a reliability model for dependent competing failure processes with degradation-shock dependence considered, and Monte Carlo simulation was used to calculate the system reliability. Gao et al [27] developed reliability models subject to dependent competing soft and hard failure processes with degradation-shock dependences. Those proposed models extended previous researches by considering shock effect patterns resulting from multiple species of external shocks.…”

Section: And Vanmentioning

confidence: 99%

Maintenance Optimization for Two-Component Series Systems With Degradation Dependence

Yang

et al. 2021

IEEE Access

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This paper proposes a model of maintenance optimization for a system consisting of two dependent components in long-term operation, where both components are subject to dependent degradation. Gamma process is used to model the degradation, and Frank Copula is applied to describe the degradation dependence between the two components. We then consider degradation dependence to optimize maintenance strategy for the system to maximize its availability. The improved Artificial Bee Colony (ABC) algorithm is used to jointly determine inspection interval, opportunistic and preventive maintenance thresholds of the system. Finally, an example is provided to validate the proposed model.

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“…Kong et al [20] developed reliability models with sensor-based calibrations with multiple DCFP. Gao et al [21] considered reliability models subject to DCFP with degradation-shock dependences. In all of these DCFP models, the failure thresholds are considered to be fixed constants, implying that the component resistance to failure does not deteriorate as the system ages.…”

Section: Introductionmentioning

confidence: 99%

Reliability Evaluation of Multiple DCFP System subject to Shifting Threshold

Hao

et al. 2020

Shock and Vibration

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This paper focuses on system reliability analysis with dependent competing failure process due to soft failure and hard failure. Some new probabilistic methods based on cumulative shock model and nonlinear Wiener process under different shifting thresholds situation are obtained. Considering that nonlinearity exists extensively in practice, the continuous soft failure process is governed by random effected nonlinear Wiener process. Firstly, reliability evaluation models for hard failure and soft failure are obtained under the cumulative shock, respectively. Furthermore, some system reliability models under different shifting thresholds situation are studied, in which failure threshold will decrease after a certain number of shocks. A real numerical example about fatigue crack growth dataset is carried out to demonstrate the proposed procedure. Numerical results indicate that both random shocks and shifting threshold have significant effect on system reliability. Finally, some sensitivity analysis are also been given.

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Reliability modeling for degradation-shock dependence systems with multiple species of shocks

Cited by 92 publications

References 33 publications

A New Shock Model With a Change in Shock Size Distribution

A New Shock Model With a Change in Shock Size Distribution

Maintenance Optimization for Two-Component Series Systems With Degradation Dependence

Reliability Evaluation of Multiple DCFP System subject to Shifting Threshold

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