Periodic Inspection Optimization Models for a Repairable System Subject to Hidden Failures

Taghipour, Sharareh; Banjević, Dragan

doi:10.1109/tr.2010.2103596

Cited by 97 publications

(59 citation statements)

References 23 publications

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“…By the failure characteristics presented previously, they can be classified as hidden failure. According to Taghipour and Banjevic [22], this kind of failure does not stop the system, at the moment that it happens; however, it can cause various types of losses, such as performance (working inefficiently) or economic (low production level or rework). This is because there is a time difference between the occurrence of the failure and its detection [13,29].…”

Section: Refer To Equipment Bmentioning

confidence: 99%

Random preventive maintenance policy based on inspection for a multicomponent system using simulation

Marsaro

Cavalcante

2017

EiN

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Section: Refer To Equipment Bmentioning

confidence: 99%

Random preventive maintenance policy based on inspection for a multicomponent system using simulation

Marsaro

Cavalcante

2017

EiN

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“…which is exactly same as (8). Otherwise, C * p = C p (1, T * ) = C P /T * and the ratio of the two optimal cost rates is…”

Section: β = 1 Casementioning

confidence: 72%

“…Many researchers have studied the optimal inspection schedules [2]- [8]. Although they considered that a system is replaced upon a failure detection, many real systems such as military missiles are minimally repaired and resume their operation after the repair.…”

Section: Introductionmentioning

confidence: 99%

Replacement timing for a one-shot system with minimal repair

Kitagawa¹,

Yuge²,

Yanagi³

2018

Malaya J. Mat.

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A system that is available only once is called a one-shot system. To ensure its high availability, an inspection is performed regularly because its failure is detected only through it. In this paper, we discuss management policies in replacement timings of a single-unit one-shot system whose failures are removed by minimal repairs. We compare the two replacement policies that manages the number of failures and the number of periodic inspections. Our objective is to compare the two management policies of replacement timings by formulating the incurred cost rate, which is cost per unit time, and the availability.

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“…His model assumes that both inspection and repair will renew the system. Tahgipour and Banjevic [11] investigated the optimal inspection interval for a multi-unit repairable system to minimize expected cost over a finite and infinite time horizon. Ahmadi and Kumar [12] developed a cost rate function model to determine the optimum inspection interval time and frequency of inspection and restoration of an aircraft's repairable components.…”

Section: Introductionmentioning

confidence: 99%

A new model for the optimization of periodic inspection intervals with failure interaction: A case study for a turbine rotor

Rezaei

2017

Case Studies in Engineering Failure Analysis

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Please cite this article as: Esmaeil Rezaei A new model for the optimization of periodic inspection intervals with failure interaction: a case study for a turbine rotor (2015), http://dx. AbstractInspection is one of the important activities to detect and fix failures in repairable system. Optimization of inspection intervals has critical role in maintenance cost and operating system. When a component fails, it is renewed or repaired. A great deal of periodic inspection research is for hidden failure and considered one of the perfect (renew) and minimal repair policies. In literature, the lack of simultaneous consideration of both perfect and minimal repair in reliability model has been observed. This study presents new reliability model by synchronous consideration of both minimal and perfect repair. As well as, the expected total maintenance cost is presented and modeled to figure out the optimal inspection interval. The proposed model is more comprehensive model in reliability evaluation and can be applied in different pertinent problems. The model is applied to steam turbine system which the rotor considered as soft component and filter as hard component. The result revealed that the system should be inspected every 12 month.

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Periodic Inspection Optimization Models for a Repairable System Subject to Hidden Failures

Cited by 97 publications

References 23 publications

Random preventive maintenance policy based on inspection for a multicomponent system using simulation

Random preventive maintenance policy based on inspection for a multicomponent system using simulation

Replacement timing for a one-shot system with minimal repair

A new model for the optimization of periodic inspection intervals with failure interaction: A case study for a turbine rotor

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