A practical approach for reliability prediction of pipeline systems

Sun, Yong; Ma, Lin; Morris, Jon R.

doi:10.1016/j.ejor.2008.07.040

Cited by 38 publications

(16 citation statements)

References 7 publications

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“…These two studies fill this gap by applying long periods of tests to these particular components. Furthermore, a study has been conducted by Sun et al [17] to improve the long-term preventive maintenance decisions using a reliability prediction approach. A case study of water pipelines was developed to collect real failure data of two main segments: exposed pipelines and buried pipelines.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability-Based Preventive Maintenance Strategy of Truck Unloading Systems

Mohammed¹,

Ghaithan²,

Al-Saleh³

et al. 2020

Applied Sciences

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The unloading of petroleum products is a complex and potentially dangerous operation since the unloading system contains complex interdependency components. Any failures in one of its components lead to a cut in the petroleum supply chain. Therefore, it is important to assess and evaluate the reliability of the unloading system in order to improve its availability. In this context, this paper presents the operation philosophy of the truck unloading system, failure modes of the components within the system, and a bottom-up approach to analyze the reliability of the system. In addition, it provides reliability data, such as failure rates, and mean time between failures of the system components. Furthermore, the reliability of the whole system was calculated and is presented for different time periods. The critical components, which are major contributors towards the system reliability, were identified. To enhance the system reliability, a reliability-based preventive maintenance strategy for the critical components was implemented. In addition, the preventive maintenance scheduling was identified based on the reliability plots of the unloading system. The best schedule for preventive maintenance of the system was determined based on the reliability function to be every 45 days for maintaining the system reliability above 0.9. Findings reveal that the reliability of the unloading system was significantly improved. For instance, the system reliability at one year improved by 80%, and this ratio increased dramatically as the time period increased.

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Section: Literature Reviewmentioning

confidence: 99%

Reliability-Based Preventive Maintenance Strategy of Truck Unloading Systems

Mohammed¹,

Ghaithan²,

Al-Saleh³

et al. 2020

Applied Sciences

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“…There are research works devoted for assessment of piping network reliability based on statistical data [2][3][4], failure data analysis of piping integrated with hydraulics [5][6][7]. There is available also an interesting research study, which proposes a rapid reliability estimation method for node-pair connectivity analysis of lifeline networks with its application example to interconnected power and water networks under seismic hazards [8].…”

Section: Introductionmentioning

confidence: 99%

Integrated assessment of failure probability of the district heating network

Valinčius

Žutautaitė

Dundulis

et al. 2015

Reliability Engineering & System Safety

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“…Analysis of other research carried out in the field of reliability evaluation of pipeline networks has shown that these works present case studies of specific networks and, in most cases, the investigation focuses on the analysis of certain processes that are critical for reliability (such as degradation [5,6,7] or available statistical data. There are several research works on pipeline system reliability assessment focused on failure data analysis [8] and structural integrity analysis [9].…”

Section: Introductionmentioning

confidence: 99%

Substantiation of methods of improving safety of pipeline gas transportation

Kurasov

Burkov

2021

E3S Web Conf.

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Ensuring the operational efficiency of hazardous production facilities throughout their entire service life becomes a formidable challenge associated with coordinating thorough monitoring of such facilities, assessing their exposure, mitigation and sustainability, and taking measures to minimize and prevent negative outcomes that can lead to negative consequences, including human fatalities, injuries and economic losses. At the same time, the optimal choice of the ratio between levels of risk and costs of identification, regulation and increase in the resource will ensure both a reduction to a minimum of the risk of failures in gas pipeline systems and increase the efficiency of resource use to maximize technogenic safety. The paper proposes a methodology for the calculation of risk indicators and the probability of emergencies on gas networks and gas distribution facilities during their operation in normal and emergency situations.

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A practical approach for reliability prediction of pipeline systems

Cited by 38 publications

References 7 publications

Reliability-Based Preventive Maintenance Strategy of Truck Unloading Systems

Reliability-Based Preventive Maintenance Strategy of Truck Unloading Systems

Integrated assessment of failure probability of the district heating network

Substantiation of methods of improving safety of pipeline gas transportation

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