Maintenance Versus Individual and Overarching Protections for Parallel Systems

Peng, Rui; Guo, Li; Levitin, Gregory; Mo, Huadong; Wang, Wenbin

doi:10.1080/16843703.2014.11673350

Cited by 21 publications

(10 citation statements)

References 13 publications

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“…It would be of interest to investigate the optimal maintenance policy for multiple failure-mode systems with imperfect inspections or imperfect repair, eg,. [29][30][31][32] Because of the rapid development of sensing technologies, a condition-based maintenance schedule, eg, [33][34][35] should be more effective but more complex. Combining maintenance programs with the economic manufacturing quantity (EMQ) or inventory decision is another interesting extension for future study, since an effective maintenance policy heavily relies on the normal production process and the availability of spare components, eg,.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Preventive maintenance policy of single‐unit systems based on shot‐noise process

Qiu

Cui

Dong

2018

Quality & Reliability Eng

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This paper develops reliability and maintenance models for a single‐unit system subject to hard failures under random environment of external shocks. Motivated by the observations of shot‐noise process in practice, the impact of shock damage on system failure behavior is characterized by random hazard rate increments. To remove such negative impact, imperfect preventive repair is performed periodically, and preventive replacement is performed after several repairs. Considering the joint effects of both random shocks and imperfect repair on the system hazard rate, we derive recursive equations for the system reliability function. Furthermore, we investigate the optimal maintenance policy that minimizes the expected cost per unit time of the system. The applicability of the reliability and maintenance model is validated by a case study on a wind turbine system.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Preventive maintenance policy of single‐unit systems based on shot‐noise process

Qiu

Cui

Dong

2018

Quality & Reliability Eng

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“…To reveal minor failures of the multi‐component system, inspections are equally spaced with a constant interval (periodic inspection). This is a common strategy in practice due to its implementation convenience . It should be noted that the periodic inspection policy considered in this paper is block based and schemed according to the calendar time.…”

Section: Introductionmentioning

confidence: 99%

“…This is a common strategy in practice due to its implementation convenience. [19][20][21][22][23][24] It should be noted that the periodic inspection policy considered in this paper is block based and schemed according to the calendar time. As mentioned, this inspection policy is more cost-effective than an age-based inspection policy 25 (usually for a single-component system) because the set-up costs of both inspection and inspection-based replacement could be shared.…”

Section: Introductionmentioning

confidence: 99%

An inspection model for a multi‐component system subject to 2 types of failures

Yang

Zhao

2017

Quality & Reliability Eng

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Group maintenance is common and of significant importance for complex systems in industrial applications. This paper proposes a novel inspection and replacement model for a multi‐component system whose components are all subject to 2 typical failure modes, ie, catastrophic failure and minor failure. A catastrophic failure stops the system immediately, whereas a minor failure is not fatal and could only be identified by periodic inspection. At either a catastrophic or a minor failure, replacement is immediate. The maintenance cost model could be constructed through calculating the distribution of the “forward time”, which denotes the time elapse to a catastrophic failure since the previous inspection. The objective of this paper is to minimize the expected cost per unit time of the system via the optimization of the inspection interval. A case study on offshore wind turbine blades is presented to illustrate the maintenance model.

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“…One approach for improving the survivability of system elements is to make defensive investment to protect the elements [21][22][23]. The probability that an element is destroyed by the external impact is usually modeled as a function of the external impacts intensity and the protection effort allocated on the element [24][25][26][27]. The survival probability of an element is higher if more protection effort is allocated onto it.…”

Section: Introductionmentioning

confidence: 99%

“…The survival probability of an element is higher if more protection effort is allocated onto it. The optimal trade-off between investment into the maintenance and protection of the elements in a simple parallel system that is subject to both internal failure and natural disasterswas studied in [27].…”

Section: Introductionmentioning

confidence: 99%

Optimal loading and protection of multi-state systems considering performance sharing mechanism

Xiao

Shi

Ding

et al. 2016

Reliability Engineering & System Safety

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Engineering systems are designed to carry the load. The performance of the system largely depends on how much load it carries. On the other hand, the failure rate of the system is strongly affected by its load. Besides internal failures, such as fatigue and aging process, systems may also fail due to external impacts such as nature disasters and terrorism. In this paper, we integrate the effect of loading and protection of external impacts on multi-state systems with performance sharing mechanism. The objective of this research is to determine how to balance the load and protection on system elements. An availability evaluation algorithm of the proposed system is suggested and the corresponding optimization problem is solved utilizing genetic algorithms.

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Maintenance Versus Individual and Overarching Protections for Parallel Systems

Cited by 21 publications

References 13 publications

Preventive maintenance policy of single‐unit systems based on shot‐noise process

Preventive maintenance policy of single‐unit systems based on shot‐noise process

An inspection model for a multi‐component system subject to 2 types of failures

Optimal loading and protection of multi-state systems considering performance sharing mechanism

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