Component Reliability Importance assessment on complex systems using Credible Improvement Potential

Catelani, Marcantonio; Ciani, Lorenzo; Venzi, Matteo

doi:10.1016/j.microrel.2016.07.055

Cited by 29 publications

(8 citation statements)

References 8 publications

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“…Analysis of traditional component importance includes two steps [29]: 1) Identify system structure and, 2) Rank components with importance measures. The first step if to show how component reliability contributes to failure or success of the whole system.…”

Section: Analysis Proceduresmentioning

confidence: 99%

Reliability Importance of Renewable Energy Sources to Overall Generating Systems

Ming

Kong

et al. 2021

IEEE Access

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Over the years, probabilistic nature of renewable energy sources (RES) and its influence on power system adequacy have been well studied. However, rather less attention has been paid to the impact of RES unit itself's and its power conversion system's (PCS') reliability, as well as their various connection topologies. This paper devises a comprehensive sensitivity study on how each of these elements can affect overall generating system reliability. given the plethora of RES configurations and components, it is of import to identify the most vulnerable element in RES. In this work, component importance is extended, for the first time, to generating capacity adequacy assessment (HLI). Measurement index is the centerpiece in reliability importance. New indices have to be introduced to facilitate the study. While the physical meaning of previously developed indices is lost, in this study indices are proposed based on traditional importance measures, of which the physical meaning are strictly retained and consistent with the definitions. With the proposed assessment technique, components in various RES configuration can be ranked according to their reliability importance. It is found in the numerical study that different importance measures (such as riskachievement based measures and risk-reduction based measures) can result in different rankings. Studies on contributing factors of the reliability importance are also performed. As more and more RES gaining foothold in generating systems, the proposed technique assist to achieve targeted reliability level of the system, by easily identifying and prioritizing reliability improvement tasks among various units/components in the increasing complex system.

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Section: Analysis Proceduresmentioning

confidence: 99%

Reliability Importance of Renewable Energy Sources to Overall Generating Systems

Ming

Kong

et al. 2021

IEEE Access

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“…Several published papers have focused on the reliability of system components and units and their improvement [2][3][4]. The reliability of many systems has been evaluated [5][6][7]. It is mentioned that systems reliability is diminishable.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As a result, the system's components shown in Figure 2 become one line of series components from start to end. Consequently, the total system reliability can be calculated using Equation (5). It is important to note that neither the unloading arms nor the ball valves were directly considered in the system reliability calculations, instead, their subsystem (stream 1 and 2 combined) was directly considered in the system reliability calculations and this will account for both unloading arms and the ball valves connected to them.…”

Section: Unloading System Reliabilitymentioning

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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“…There are many techniques to evaluate reliability importance measures (RIM), an example of which are the Monte Carlo Simulation, Markov Methods, Petri Nets, Fault Tree Analysis (FTA), and Reliability Block Diagrams (RBD) [39]. Marcantonio Catelani et al described two metrics for the component reliability importance assessment on complex systems-credible importance potential (CIP) and improvement potential (IP) [26]. Rong Gao and Kai Yao presented some formulas for the calculation of the importance index of components of uncertain reliability systems [40].…”

Section: Component Importance Indicesmentioning

confidence: 99%

“…A reliability importance index is one of the methods to identify system weaknesses and provide a numerical value to determine which components are more important for the improvement of system reliability [26]. The reliability importance index can be used to assess which components are needing maintenance and which components are needing more attention to reduce maintenance costs [27].…”

Section: Introductionmentioning

confidence: 99%

Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems

et al. 2018

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A combined cooling, heating, and power (CCHP) system is a complex and repairable system containing a large number of components and series of subsystems. When a failure occurs in one component, it might cause a failure of a subsystem or whole system. Traditional maintenance methods might lead to the waste of maintenance resources and a high cost of maintenance. The reliability and maintenance prioritization analyses can help managers optimize maintenance strategies and reduce the total cost. A reliability importance index is one of the factors in maintenance prioritization analysis. This paper aims at selecting the component reliability importance indices to identify the priority of component maintenance of a CCHP system from the perspective of maintenance cost. Failure cost importance index (FCI) and Potential failure cost importance index (PI) are developed for the maintenance prioritization analysis of a CCHP system. A Markov model based on the state-space method (SSM) is used to analyze the reliability and availability of a CCHP system. A set of actual survey reliability data of CCHP systems is used to support the validity of the reliability importance indices. The results indicate that the FCI and PI might lead to different rankings of maintenance prioritization. The FCI and PI will help managers make a reasonable decision for maintenance on a cost basis.

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Component Reliability Importance assessment on complex systems using Credible Improvement Potential

Cited by 29 publications

References 8 publications

Reliability Importance of Renewable Energy Sources to Overall Generating Systems

Reliability Importance of Renewable Energy Sources to Overall Generating Systems

Reliability-Based Preventive Maintenance Strategy of Truck Unloading Systems

Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems

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