The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance

Jonge, Bram de; Teunter, Ruud H.; Tinga, Tiedo

doi:10.1016/j.ress.2016.10.002

Cited by 168 publications

(64 citation statements)

References 81 publications

(106 reference statements)

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“…In other words, the scale parameter is assumed to be constant. Because gamma process is a pure jump process, the following reliability analysis is different from the Wiener process because of "overshoot behavior" [37]. To evaluate the time between two given degradation levels of gamma process, approximated methods are often resorted to.…”

Section: Discussion For Gamma Process and Ig Processmentioning

confidence: 99%

Reliability Modeling and Analysis of Load-Sharing Systems With Continuously Degrading Components

Zhao

Liu

2018

IEEE Trans. Rel.

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This paper presents a reliability modeling and analysis framework for load-sharing systems with identical components subject to continuous degradation. It is assumed that the components in the system suffer from degradation through an additive impact under increased workload caused by consecutive failures. A log-linear link function is used to describe the relationship between the degradation rate and load stress levels. By assuming that the component degradation is well modeled by a step-wise drifted Wiener process, we construct maximum likelihood estimates (MLEs) for unknown parameters and related reliability characteristics by combining analytical and numerical methods. Approximate initial guesses are proposed to lessen the computational burden in numerical estimation. The estimated distribution of MLE is given in the form of multivariate normal distribution with the aid of Fisher information. Alternative confidence intervals are provided by bootstrapping methods. A simulation study with various sample sizes and inspection intervals is presented to analyze the estimation accuracy. Finally, the proposed approach is illustrated by track degradation data from an application example.

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Section: Discussion For Gamma Process and Ig Processmentioning

confidence: 99%

Reliability Modeling and Analysis of Load-Sharing Systems With Continuously Degrading Components

Zhao

Liu

2018

IEEE Trans. Rel.

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“…In the past few decades, CBM has received an increasing attention, due to its capability to intervene system performance in time. As opposite to traditional time-based maintenance policies, CBM has shown its advances in preventing system failure and reducing operating cost from both the academic and practical point of view [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Filtering Approach for Condition-Based Maintenance Considering Sensor Degradation

Liu

Van

Iung

et al. 2020

IEEE Trans. Automat. Sci. Eng.

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“…Wang [24] made a clear classification of different possible strategies. The tendency towards condition-based maintenance (CBM) policies is mainly due to a great improvement in technology which enables accurate online measurements of degradation levels and leads to benefits over traditional time-based maintenance [12].…”

Section: Introductionmentioning

confidence: 99%

A dynamic auto-adaptive predictive maintenance policy for degradation with unknown parameters

Omshi

Grall

Shemehsavar

2020

European Journal of Operational Research

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With the development of monitoring equipment, research on condition-based maintenance (CBM) is rapidly growing. CBM optimization aims to find an optimal CBM policy which minimizes the average cost of the system over a specified duration of time. This paper proposes a dynamic auto-adaptive predictive maintenance policy for single-unit systems whose gradual deterioration is governed by an increasing stochastic process. The parameters of the degradation process are assumed to be unknown and Bayes' theorem is used to update the prior information. The time interval between two successive inspections is scheduled based on the remaining useful life (RUL) of the system and is updated along with the degradation parameters. A procedure is proposed to dynamically adapt the maintenance decision variables accordingly. Finally, different possible maintenance policies are considered and compared to illustrate their performance.

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The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance

Cited by 168 publications

References 81 publications

Reliability Modeling and Analysis of Load-Sharing Systems With Continuously Degrading Components

Reliability Modeling and Analysis of Load-Sharing Systems With Continuously Degrading Components

Stochastic Filtering Approach for Condition-Based Maintenance Considering Sensor Degradation

A dynamic auto-adaptive predictive maintenance policy for degradation with unknown parameters

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