A Condition-Based Maintenance Model Including Resource Constraints on the Number of Inspections

Alvarez, Claudio; López-Campos, Mónica; Stegmaier, Raúl; Mancilla–David, Fernando; Schurch, Roger; Angulo, Alejandro

doi:10.1109/tr.2019.2955558

Cited by 20 publications

(9 citation statements)

References 56 publications

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“…George et al [26] proposed a robust computing framework for determining the optimal maintenance strategy for a hydroelectric power plant. Alvarez et al [27] proposed a stochastic dynamic planning model to determine the most appropriate timing for inspection and preventive maintenance of each component of a non-redundant system. Wu et al [28] proposed a new dynamic planning framework that comprehensively considered preventive and opportunistic replacement.…”

Section: Related Workmentioning

confidence: 99%

“…In Figure 3, the abscissa represents the normalization of the life data x which is calculated according to Equation (27); the ordinate represents the cumulative distribution function (CDF) of the candidate distribution, which is expressed as a percentage ranging from 0 to 1. The blue curve indicates the CDF of the point estimated by the median rank after sorting the samples according to the numerical value; the red dotted line indicates the confidence interval of 1−α.…”

Section: Optimal Life Distributionmentioning

confidence: 99%

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A novel refined maintenance strategy for full life cycle of high‐speed automatic train protection system

Kang,

Pang,

Cheng

et al. 2023

IET Intelligent Trans Sys

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Automatic train protection (ATP) system is essential for ensuring the safe operation of high‐speed trains. However, the existing extensive and fixed maintenance mode of the ATP system results in a waste of resources. To achieve a state of operation and maintenance that ensures both protection capability and economic efficiency, a lean method in a dynamic maintenance mode for the full life cycle of the ATP system is proposed. Firstly, reliability tests are carried out based on historical failure data. The parameter values of the possible life distribution are estimated by maximum likelihood method, and the optimal life distribution of different devices is obtained through the Kolmogorov–Smirnov hypothesis test. Secondly, a dynamic failure rate function is introduced to describe the impact of maintenance on device performance. A refined maintenance model is then established within the life cycle, and the dynamically changing preventive maintenance intervals and frequencies are obtained using a genetic algorithm. Finally, to mitigate the impact of the intermittent operation of ATP system on maintenance, the multidimensional relationships among the maintenance strategy, service time and operation mileage are revealed. The effectiveness of the proposed method is verified through an example test on a type of driver machine interface device.

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Section: Related Workmentioning

confidence: 99%

Section: Optimal Life Distributionmentioning

confidence: 99%

A novel refined maintenance strategy for full life cycle of high‐speed automatic train protection system

Kang,

Pang,

Cheng

et al. 2023

IET Intelligent Trans Sys

View full text Add to dashboard Cite

show abstract

“…The state of the equipment and correlation set is predicted and its availability is determined. Alvarez C [4] proposed a stochastic dynamic planning model for condition-based maintenance applications. The optimal timing of inspection and preventive maintenance for each component of a non-redundant system was determined.…”

Section: Introductionmentioning

confidence: 99%

Research on preventive maintenance strategy of Coating Machine based on dynamic failure rate

Gu¹,

Nie²,

Han³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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In this paper, a dynamic preventive maintenance strategy is proposed for the problem of high maintenance cost rate due to excessive maintenance caused by unreasonable maintenance threshold setting when complex electromechanical equipment maintenance strategy is formulated. Increasing failure rate factor and decreasing service age factor are introduced to describe the evolution rules of failure rate during the maintenance of the coating machine, and the BP-LSTM (BP-Long Short Term Memory Network, BP-LSTM) model is combined to predict the failure rate of the coating machine. A Dynamic preventive maintenance Model (DM) that relies on dynamic failure rate thresholds to classify the three preventive maintenance modes of minor, medium and major repairs is constructed. A dynamic preventive maintenance strategy optimization process based on Genetic-Particle Swarm Optimization (GPSO) algorithm with the lowest cost rate per unit time in service phase is built to solve the difficult problem of dynamic failure rate threshold finding. Based on the historical operating data of the coating machine, a case study of the dynamic preventive maintenance strategy of the coating machine was conducted to verify the effectiveness of the model and the developed maintenance strategy proposed in this paper. The results show that the maintenance strategy developed in this paper can ensure better economy and applicability.

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“…Combining system monitoring status and historical degradation data, Cai et al [6] proposed a re-prediction method for remaining useful life to improve the accuracy of prediction. Alvarez et al [1] proposed a stochastic dynamic programming model to minimize the total maintenance cost per unit time. Levitin et al [19,20] proposed a task success probability evaluation method based on an event transfer, which enabled optimal preventive replacement scheduling.…”

Section: Introductionmentioning

confidence: 99%

Component Maintenance Strategies and Risk Analysis for Random Shock Effects Considering Maintenance Costs

Zhang¹,

Zhang²,

Dui³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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Maintenance can improve a system’s reliability in a long operation period or when a component has failed. The reliability modeling method that uses the stochastic process degradation model to describe the system degradation process has been widely used. However, the existing reliability models established using stochastic processes only consider the internal degradation process, and do not fully consider the impact of external random shocks on their reliability modeling. Furthermore, the existing theory of importance does not consider the actual factors of maintenance cost. In this paper, based on the reliability modeling of random processes, the degradation rate under the influence of random shocks is introduced into the time scale function to solve the impact of random shocks on product reliability, and two cost importance measures are proposed to guide the maintenance selection of the components under limited resources in the system.Finally, a subsystem of an aircraft hydraulic system is analyzed to verify the proposed method’s performance.

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A Condition-Based Maintenance Model Including Resource Constraints on the Number of Inspections

Cited by 20 publications

References 56 publications

A novel refined maintenance strategy for full life cycle of high‐speed automatic train protection system

A novel refined maintenance strategy for full life cycle of high‐speed automatic train protection system

Research on preventive maintenance strategy of Coating Machine based on dynamic failure rate

Component Maintenance Strategies and Risk Analysis for Random Shock Effects Considering Maintenance Costs

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