Failure mechanism dependence and reliability evaluation of non-repairable system

Chen, Ying; Liu, Yang; Cui, Ye; Kang, Rui

doi:10.1016/j.ress.2015.02.002

Cited by 54 publications

(28 citation statements)

References 23 publications

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“…The data required (data) to evaluate these models can only be collected during different loading phases, making these models difficult to use in practice. In the previous work, two of the current authors have studied failure mechanisms (FM) and their relationships [25], [26], modeling of the system reliability with a failure mechanism tree and Binary Decision Diagram model, and data analysis with a PPoF (Probabilistic Physics of Failure) method.…”

Section: The Motivation Of the Proposed Load Sharing Modelmentioning

confidence: 99%

A Failure Mechanism Cumulative Model for Reliability Evaluation of a k-Out-of-n System With Load Sharing Effect

Chen

2019

IEEE Access

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In this paper, we propose a failure mechanism cumulative model that considers the loading history of the load sharing effect in a k-out-of-n system. Three types of failure mechanisms are considered, continuous degradation, compound point degradation, and sudden failure due to shock. By constructing a logic diagram with functional dependence gate, the load-sharing effect can be explained from the failure mechanism point of view using a mechanism-acceleration gate that shows that when one component fails, the failure mechanisms of the other surviving components will be accelerated. By deriving the total damage equation and a constructing failure behavior model, the system reliability of a k-out-of-n system with different types of failure mechanisms were evaluated. A voltage stabilizing system that contains a 1-out-of-2 subsystem, or a 2-out-of 3 subsystem was used to illustrate the practical applicability of the proposed approach. A combined Monte Carlo and binary decision diagram method was used in the numerical simulation process. INDEX TERMS K-out-of-n system, load sharing effect, failure mechanism cumulative model, functional dependence, acceleration.

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Section: The Motivation Of the Proposed Load Sharing Modelmentioning

confidence: 99%

A Failure Mechanism Cumulative Model for Reliability Evaluation of a k-Out-of-n System With Load Sharing Effect

Chen

2019

IEEE Access

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“…Degradation model is a mathematical model to describe the failure law of product degradation.The reliability index of the products including the failure probability required by FMECA could be obtained by utilizing the degradation model to deal with the failure data [6,7] .Let y() t be the degradation at t moment , define l as failure threshold.Failure is believed to occur when y() tl ≥ . ()(y()) FtPtl =≥ is the product failure probability.…”

Section: Failure Analysis Based On Degradation Modelmentioning

confidence: 99%

FMECA for LRM based on Degradation Data

Chen¹,

Lian²,

Geng³

et al. 2016

Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology

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Abstract. Failure Mode Effect and Critically Analysis(FMECA) is one of the key technologies in testability verification test that based on plenty of failure samples.Line replaceable module(LRM) is the core of the new generation avionics system and military equipment electronic system. Failure data of LRM is difficult to acquire under natural conditions,however,it could be obtained fleetly through accelerated degradation test(ADT).According to the degradation data obtained from the accelerated degradation test and the degradation model, the typical failure modes and the occurrence probability of the LRM could be obtained.

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“…Generally, 2 possible kinds of events may lead to the “worse than old” repair state. One is an unpredictable human error during repair work (ie, a repairman does not follow the right operation procedure, or lack of experience), which may result in damages on other components or sub‐systems therefore reducing the entire system performance; the other is called propagated failures that a failure originated from a component of a system may have negative effect on other components or sub‐systems. Specifically, a failure of a component may trigger or accelerate failure mechanisms of other components, thereby leading to performance degradation of the entire system.…”

Section: Introductionmentioning

confidence: 99%

Reliability modeling of multi‐state degraded repairable systems and its applications to automotive systems

Zheng

Pham

et al. 2018

Quality & Reliability Eng

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In this paper, we presented a continuous‐time Markov process‐based model for evaluating time‐dependent reliability indices of multi‐state degraded systems, particularly for some automotive subsystems and components subject to minimal repairs and negative repair effects. The minimal repair policy, which restores the system back to an “as bad as old” functioning state just before failure, is widely used for automotive systems repair because of its low cost of maintenance. The current study distinguishes with others that the negative repair effects, such as unpredictable human error during repair work and negative effects caused by propagated failures, are considered in the model. The negative repair effects may transfer the system to a degraded operational state that is worse than before due to an imperfect repair. Additionally, a special condition that a system under repair may be directly transferred to a complete failure state is also considered. Using the continuous‐time Markov process approach, we obtained the general solutions to the time‐dependent probabilities of each system state. Moreover, we also provided the expressions for several reliability measures include availability, unavailability, reliability, mean life time, and mean time to first failure. An illustrative numerical example of reliability assessment of an electric car battery system is provided. Finally, we use the proposed multi‐state system model to model a vehicle sub‐frame fatigue degradation process. The proposed model can be applied for many practical systems, especially for the systems that are designed with finite service life.

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Failure mechanism dependence and reliability evaluation of non-repairable system

Cited by 54 publications

References 23 publications

A Failure Mechanism Cumulative Model for Reliability Evaluation of a k-Out-of-n System With Load Sharing Effect

A Failure Mechanism Cumulative Model for Reliability Evaluation of a k-Out-of-n System With Load Sharing Effect

FMECA for LRM based on Degradation Data

Reliability modeling of multi‐state degraded repairable systems and its applications to automotive systems

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