Optimal inspection and maintenance for a repairable k-out-of-n: G warm standby system

Wu, Hui; Li, Yan‐Fu; Bérenguer, Christophe

doi:10.1016/j.ress.2019.106669

Cited by 57 publications

(22 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A redundancy allocation problem for cold‐standby systems with degrading components was studied when periodic inspection and preventive maintenance are performed on the cold‐standby components 8 . The inspection and maintenance optimization problem was formulated as a nonlinear optimization program to find the optimal periodic inspections by minimizing the total cost with unavailability 9 . Periodic inspection was used to identify the defective stage of the delayed failure 10 .…”

Section: Introductionmentioning

confidence: 99%

“…8 The inspection and maintenance optimization problem was formulated as a nonlinear optimization program to find the optimal periodic inspections by minimizing the total cost with unavailability. 9 Periodic inspection was used to identify the defective stage of the delayed failure. 10 The joint optimization of inspection intervals were modeled with multifunctional maintenance windows.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Periodic and sequential inspection policies with mission failure probabilities

Zhao

Zheng

Jia

et al. 2021

Quality & Reliability Eng

View full text Add to dashboard Cite

When a unit should provide reliability at mission time, the mission success probability or failure probability becomes an important constraint to plan inspection policies. From this viewpoint, this paper considers the optimization problems of periodic and sequential inspection policies with mission failure probabilities. In this paper, a mission time is considered as a renewal point for inspection polices, but the failure cost occurred at mission time is higher than the total cost of inspection and failure detection. We give an upper limit of the failure probability at mission time, that is, mission failure probability, to minimize the total expected costs and the expected cost rates of inspection policies. In addition, the extended models of inspection policies for an interval mission, possible random times, and operating interval are discussed.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Periodic and sequential inspection policies with mission failure probabilities

Zhao

Zheng

Jia

et al. 2021

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…In this regard, the availability of continuous equipment, one-shot equipment and equipment with periodic use can be considered (Kitagaw et al , 2016). One-shot equipment is defined as a system ready for use and discarded once it is expended (Wu et al ., 2020). Examples of one-shot devices can be found in such diverse applications as in missile technology, automobile airbags, thermal batteries, magneto-rheological fluids, and a good number of stand-by systems (Ling and Hu, 2020).…”

Section: Introductionmentioning

confidence: 99%

Appropriate strategy selection for reliability-centered maintenance of one-shot systems using fuzzy model

Azimian

Karbasian

Atashgar

et al. 2021

JQME

View full text Add to dashboard Cite

PurposeThis paper addresses special reliability-centered maintenance (RCM) strategies for one-shot devices by providing fuzzy inferences system with the assumption that, to data, there is no data available on their maintenance. As far as one-shot devices are concerned, the relevant data is inadequate.Design/methodology/approachIn this paper, a fuzzy expert system is proposed to effectively select RCM strategies for one-shot devices. In this research: (1) a human expert team is provided, (2) spatial RCM strategies for one-shot devices and parameters bearing upon those strategies are determined, (3) the verbal variables of the expert team are transformed into fuzzy sets, (4) the relationship between parameters and strategies are designed whereupon a model is developed by MATLAB software, (5) Finally, the model is applied to a real-life one-shot system.FindingsThe finding of this study indicates that the proposed fuzzy expert system can determine the parameters affecting the choice of the appropriate one-shot RCM strategies, and a fuzzy inference system can help for effective decision making.Originality/valueThe developed model can be used as a fast and reliable method for determining an appropriate one-shot RCM strategy, whose results can be relied upon with a suitable approximation in respect of the behavior test. To the best authors’ knowledge, this problem is not addressed yet.

show abstract

“…A review of the most recent works on the reliability study of repairable k -out-of-n systems showed that these studies either focus on non-time-dependent reliability characteristics [5,17,23,28] or are based on assumptions of exponential [29] or PH-type distributions [4,20] of the repair time of the system's components. The latter contain models that can easily be reduced to Markov processes with a discrete set of states.…”

Section: Introductionmentioning

confidence: 99%

ON RELIABILITY FUNCTION OF A K-OUT-OF-N SYSTEM WITH GENERAL REPAIR TIME DISTRIBUTION

Rykov

Kozyrev

Filimonov³

et al. 2020

Prob. Eng. Inf. Sci.

View full text Add to dashboard Cite

The reliability study of k-out-of-n systems is of interest both from theoretical and practical points of view. Applications of such models can be seen in many real-world phenomena, including telecommunication, transmission, transportation, manufacturing, and services. A probabilistic study of a real-world k-out-of-n system often helps to develop an optimal strategy for maintaining high system-level reliability. There are many investigations devoted to the reliability-centric analysis of such systems. We consider a mathematical model of a repairable k-out-of-n system that works until k of its n components have failed. During the system's life cycle, its components are repaired with the help of a single repair facility. It is supposed that the components' lifetimes have an exponential distribution and their repair times have a general distribution. The proposed model is intended to be applied to the description of operation of unmanned rotorcraft high-altitude platforms and to be validated with the help of an experimental prototype. For the considered system, we propose an algorithm for calculation of the reliability function, and for special cases, k = 2 and k = 3, its closed-form representation is given. A numerical investigation is performed for special cases. The obtained results are a first step toward the sensitivity analysis of reliability characteristics of k-out-of-n systems to the shape of the repair time distributions of their components.

show abstract

Optimal inspection and maintenance for a repairable k-out-of-n: G warm standby system

Cited by 57 publications

References 34 publications

Periodic and sequential inspection policies with mission failure probabilities

Periodic and sequential inspection policies with mission failure probabilities

Appropriate strategy selection for reliability-centered maintenance of one-shot systems using fuzzy model

ON RELIABILITY FUNCTION OF A K-OUT-OF-N SYSTEM WITH GENERAL REPAIR TIME DISTRIBUTION

Contact Info

Product

Resources

About