Degradation modeling and reliability estimation for competing risks considering system resistance

Wang, Jia; Wang, Rong; Han, Xu

doi:10.1016/j.cie.2022.108950

Cited by 7 publications

(2 citation statements)

References 32 publications

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“…According to the magnitude of the shock, shock loads can be divided into three types. 39 The probabilities of the three types of loads appearing in the time (0, 𝑡] are 𝑃 1 , 𝑃 2 , and 𝑃 3 , respectively. And 𝑃 1 + 𝑃 2 + 𝑃 3 = 1.…”

Section: Zoned Shock Loadsmentioning

confidence: 99%

Wind turbine gear reliability analysis considering dependent competing failure

Liu,

Gao,

Yuan

et al. 2023

Quality & Reliability Eng

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To more precisely assess the reliability of wind turbine gears, a competing failure model is established with consideration given to the degradation of internal fatigue strength and external random shocks. Firstly, the nonlinear Gamma process is adopted to depict the degradation of fatigue strength, and the strength‐stress interference theory is used to establish the threshold of degradation failure that changes over time. Also, the non‐homogeneous Poisson process is employed to depict the arrival of the shock, and classification of the shocks. Secondly, the correlation between degradation and shock is described, while the effect of shocks on degradation is demonstrated as a sudden increase in the extent of degradation. Besides, the decline rate of residual strength curve is introduced to describe the change in intensity parameters of the Poisson process, and then the effect of degradation on shocks is described. Finally, the sun gear in the wind turbine gearbox is an example. Monte Carlo simulation is used to calculate the reliability of the dependent competing failure model. This is then compared with the conventional stress‐strength interference model. The results verify that when the relationship between degradation and the shock process is disregarded, the reliability of gears may be overestimated.

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Section: Zoned Shock Loadsmentioning

confidence: 99%

Wind turbine gear reliability analysis considering dependent competing failure

Liu,

Gao,

Yuan

et al. 2023

Quality & Reliability Eng

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“…For example, some systems can resist the damage of shocks due to their material, structure, or affiliated devices. The resistance to shocks will also deteriorate as the system degrades causing more prone failures, which is a function related to the system state or the system age [29]. Thus, when the failure risk of the system continuously increases to a certain threshold, it is reasonable to abort the mission and execute a rescue.…”

Section: Introductionmentioning

confidence: 99%

Optimal Mission Abort Decisions for Multi-Component Systems Considering Multiple Abort Criteria

Chai,

Chen,

Zhao

2023

Mathematics

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This paper studies the optimal mission abort decisions for safety-critical mission-based systems with multiple components. The considered system operates in a random shock environment and is required to accomplish a mission during a fixed mission period. If the failure risk of the system is very high, the main mission can be aborted to avoid higher failure cost. The main contribution of this study lies in the design and optimization of mission abort policies for multi-component systems with multiple abort criteria. Moreover, multi-level transitions are considered in this study to characterize the different shock-resistance abilities for components in different states. Mission abort decisions are determined based on the number of components in either defective or failed state. The problem is formulated in the framework of the finite Markov chain imbedding method. We use the Monte-Carlo simulation method to derive the mission reliability and system survivability. Numerical studies and sensitivity analysis are presented to validate the obtained result.

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