Condition-based maintenance for systems under dependent competing failures

Chen, L.P.; Ye, Z.S.; Huang, B.

doi:10.1109/imws.2011.6115439

Cited by 2 publications

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“…The following approaches are not. Chen et al [9] distinguish the natural failure of a system caused by its degradation process from traumatic failures due to external shocks caused by the environment. The degradation follows a stochastic process D(t) and a failure threshold is fixed D f .…”

Section: State-based Interactionmentioning

confidence: 99%

Failure interaction models for multicomponent systems: a comparative study

Meango

Ouali

2018

SN Appl. Sci.

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Classical reliability models consider the failure modes of a multicomponent system as independent phenomena, even if these modes concern only one component or neighbouring components. In fact, when a failure mode occurs on a given system, causes may be related to external events or to the physical degradation of any component in the system. In both cases, failure modes can partially or totally share some root causes, which may compromise the principle of independence of failure modes. This paper reviews the failure interaction models that characterise the effect of any failure mode of a component on the failure modes of its neighbors and on the entire system. Three relevant groups of interaction models are reviewed: reliability indexes' interaction, state-based interaction and copula-based interaction. All these models share the hypothesis of stochastic dependence between failure modes, also referred to as failure interaction. They differ in their fundamental modeling concepts. Advantages and limits of each of them are emphasized in a comparative study dealing with dependency concepts, modeling methods and application domains.

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Section: State-based Interactionmentioning

confidence: 99%

Failure interaction models for multicomponent systems: a comparative study

Meango

Ouali

2018

SN Appl. Sci.

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“…Furthermore, to modulate the relationship between the shock process and the degradation processes, the time-varying technique was used. Chen (2011) used the degradation level as a variable of the arrival rate function of the fatal shock to show a more explicit dependent relationship. Further, based on the proposed model, an inspection/replacement policy was used as a complementary solution.…”

Section: Introductionmentioning

confidence: 99%

Modeling multi-state system reliability analysis in a power station under fatal and nonfatal shocks: a simulation approach

Pourhassan

Raissi

Apornak

2021

IJQRM

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PurposeIn some environments, the failure rate of a system depends not only on time but also on the system condition, such as vibrational level, efficiency and the number of random shocks, each of which causes failure. In this situation, systems can keep working, though they fail gradually. So, the purpose of this paper is modeling multi-state system reliability analysis in capacitor bank under fatal and nonfatal shocks by a simulation approach.Design/methodology/approachIn some situations, there may be several levels of failure where the system performance diminishes gradually. However, if the level of failure is beyond a certain threshold, the system may stop working. Transition from one faulty stage to the next can lead the system to more rapid degradation. Thus, in failure analysis, the authors need to consider the transition rate from these stages in order to model the failure process.FindingsThis study aims to perform multi-state system reliability analysis in energy storage facilities of SAIPA Corporation. This is performed to extract a predictive model for failure behavior as well as to analyze the effect of shocks on deterioration. The results indicate that the reliability of the system improved by 6%.Originality/valueThe results of this study can provide more confidence for critical system designers who are engaged on the proper system performance beyond economic design.

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Condition-based maintenance for systems under dependent competing failures

Cited by 2 publications

References 0 publications

Failure interaction models for multicomponent systems: a comparative study

Failure interaction models for multicomponent systems: a comparative study

Modeling multi-state system reliability analysis in a power station under fatal and nonfatal shocks: a simulation approach

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