Sequential condition-based maintenance scheduling for a deteriorating system

Dieulle, Laurence; Bérenguer, Christophe; Grall, Antoine; Roussignol, Michel

doi:10.1016/s0377-2217(02)00593-3

Cited by 215 publications

(105 citation statements)

References 9 publications

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“…, t n , respectively. While the structural deterioration process is indeed a complex non-stationary stochastic process (Dieulle et al, 2003;Saassouh et al, 2007;Wang et al, 2015), neither fully-correlated nor statistically independent by nature, revealed that the assumption of fully-correlated deterioration is reasonable for reliability analysis producing acceptable error. As a result, in this study, the resistance deterioration process is assumed to be a fully-correlated one, which means that the overall trajectory of deterioration will be determined as soon as the deterioration type and the deterioration value at any time are given.…”

Section: Structural Reliability Analysismentioning

confidence: 99%

“…(4)); in such a case, G(T ) follows an inverse-lognormal distribution. (4) Some studies have also used the Gamma process to model the resistance deterioration (Dieulle et al, 2003;Wang et al, 2015), with which G(T ) follows Gamma distribution. Now, taking into account the uncertainty associated with G(T ), supposing that the PDF of G(T ) is f G (g), Eq.…”

Section: Probabilistic Model Of Resistance Deteriorationmentioning

confidence: 99%

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Estimating the time-dependent reliability of aging structures in the presence of incomplete deterioration information

Wang

Pang

et al. 2016

J. Zhejiang Univ. Sci. A

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The performance of an aging structure is commonly evaluated under the framework of reliability analysis, where the uncertainties associated with the structural resistance and loads should be taken into account. In practical engineering, the probability distribution of resistance deterioration is often inaccessible due to the limits of available data, although the statistical parameters such as mean value and standard deviation can be obtained by fitting or empirical judgments. As a result, an error of structural reliability may be introduced when an arbitrary probabilistic distribution is assumed for the resistance deterioration. With this regard, in this paper, the amount of reliability error posed by different choices of deterioration distribution is investigated, and a novel approach is proposed to evaluate the averaged structural reliability under incomplete deterioration information, which does not rely on the probabilistic weight of the candidate deterioration models. The reliability for an illustrative structure is computed parametrically for varying probabilistic models of deterioration and different resistance conditions, through which the reliability associated with different deterioration models is compared, and the application of the proposed method is illustrated.

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Section: Structural Reliability Analysismentioning

confidence: 99%

Section: Probabilistic Model Of Resistance Deteriorationmentioning

confidence: 99%

Estimating the time-dependent reliability of aging structures in the presence of incomplete deterioration information

Wang

Pang

et al. 2016

J. Zhejiang Univ. Sci. A

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“…However, the calibration of the parameters using observed data is quite challenging due to the non-explicit form of the model. To give a realistic and simple description for resistance deterioration, the Gamma process has been considered by previous studies (Dieulle et al, 2003;Saassouh et al, 2007;van Noortwijk et al, 2007;Li et al, 2015), because such a process describes a continuous stochastic process with non-decreasing trajectories. However, these researches mainly focus on the parametric studies for the deterioration process; no effort has been made on the calibration of the deterioration model parameters using obtained data.…”

Section: A Reviewmentioning

confidence: 99%

A realistic resistance deterioration model for time-dependent reliability analysis of aging bridges

Wang

Zou

et al. 2015

J. Zhejiang Univ. Sci. A

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Bridge resistance and reliability may deteriorate with time due to aggressive environmental conditions and increasing road freight volumes, resulting in an increase of potential economic loss. This is thus a great concern to decision-makers managing the bridges' continued future service. Reasonable models of bridge resistance and applied loads are the fundamentals of accurate estimation/prediction of a bridge's serviceability. In this paper, a new model for resistance deterioration is proposed, which enables the non-increasing property and auto-correlation in the stochastic deterioration process to be incorporated. To facilitate the practical application of the model, methods to determine its parameters using obtained data on structural resistance are developed and illustrated through simple numerical examples. Time-dependent reliability analysis is conducted using the proposed resistance deterioration model based on Monte Carlo simulation, and the effect of auto-correlation in the deterioration process on structural time-dependent reliability is investigated.

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“…There are also multiple models where a Gamma process is used for the degradation process. Dieulle et al [7] and Park [22,23] developed such models with a single-level control limit and Grall et al [11] developed such a model with a multi-level control limit. Here, we distinguish scenarios with periodic inspection ( [22]), aperiodic inspection ( [7,11]) and continuous monitoring ( [17,23]).…”

Section: Introductionmentioning

confidence: 99%

A condition-based maintenance model for a single component in a system with scheduled and unscheduled downs

Zhu

Peng

Timmermans³

et al. 2017

International Journal of Production Economics

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Sequential condition-based maintenance scheduling for a deteriorating system

Cited by 215 publications

References 9 publications

Estimating the time-dependent reliability of aging structures in the presence of incomplete deterioration information

Estimating the time-dependent reliability of aging structures in the presence of incomplete deterioration information

A realistic resistance deterioration model for time-dependent reliability analysis of aging bridges

A condition-based maintenance model for a single component in a system with scheduled and unscheduled downs

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