Risk-based maintenance strategy and its applications in a petrochemical reforming reaction system

Hu, Haijun; Cheng, Guangxu; Li, Yun; Yiping, Tang

doi:10.1016/j.jlp.2009.02.001

Cited by 38 publications

(23 citation statements)

References 13 publications

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“…In summary, by Equation (8) and (9) Where, π + ( ) w j ， π − ( ) w j denote the weighting functions of maintenance strategy for gains and losses, respectively, and they are given by formula (11) and (12). The weight of each criterion maintenance schemes decision value can be selected according to expert experience or through the analytic hierarchy process.…”

Section: G G G T T T T T T T T T B B B T T T T T T T T Tmentioning

confidence: 99%

“…For example, the flight control subsystem contains three FCGC (flight control and guidance computer) and three FCSC (flight control secondary computer), and the airborne network subsystem involves ES sciENcE aNd tEchNology systems degradation and hierarchy structure. The maintenance effect in the follows was considered to be perfect, though it is always imperfect in practice [11]. Periodic preventive maintenance (PM) is applied to some key equipment.…”

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confidence: 99%

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Maintenance strategy decision for avionics system based on cognitive uncertainty information processing

Tu¹,

Sun²,

Zhang³

et al. 2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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Maintenance strategy decision for avionics system based on cognitive uncertainty information processing. eksploatacja i niezawodnosc - Maintenance and Reliability 2015; 17 (2): 297-305, http://dx.doi.org/10.17531/ein.2015.2.18. Jiliang Tu Chengli Sun Xiangyang ZhAng hongliang PAn Ruofa ChengMaintenance strategy decision for avionics systeM based on cognitive uncertainty inforMation processing decyzja w zakresie strategii utrzyMania ruchu układu elektroniki lotniczej w oparciu o przetwarzanie inforMacji związanych z niepewnością kognitywną only by pilot error. In that sense, the importance of maintenance activity has increased due to its key role on improving system availability, performance efficiency, safety and reliability, etc. Thus in order to improve avionics considerations in general, maintenance managers (MM) should take decisions about the maintenance strategies to be implemented as well as the necessary resources to satisfy avionics system performances and requirements. Proper maintenance schedule is required to improve avionics systems reliability and safety. A decision approach to maintenance strategy remains a longstanding challenge in avionics system. With regard to fault diagnosis and equipment maintenance of avionics system, in which the equipment fault information are complex and uncertainty, a multi criteria of decision making method for avionics system based on cognitive uncertainty information processing is proposed to be used in the maintenance strategy decision. Firstly, vague set with three-parameters is introduced to make up for the shortage of the original vague set in expressing fuzzy information, a linguistic variables describing the qualitative indexes into three parameter vague of interval number is proposed. At the same time, due to risk psychological factors of maintenance policymakers that cause cognitive uncertainty are introduced into the maintenance decision process, and a prospect value function of three parameters vague interval value is defined based on prospect theory and the formula for measuring the distance between vague interval value, and a non-linear model of equipment maintenance policies can be established. The implementing process of maintenance policy decision for avionics system based on cognitive uncertainty information processing is given in this paper, and a ranking of the maintenance alternatives is determined. Finally, A specific example of decision of maintenance strategies in avionics system with the application of the proposed method isSatisfactory performance of an aircraft depends up on the continued reliability, security, features enhancements of avionics system. Reliability is proportional to amount of maintenance received and knowledge of men who performed such maintenance [13,17]. Now, an avionics system may comprise a large number of components, and efficient maintenance strategy is required to improve the reliability of relevant functions and to reduce high maintenance cost. For a long time, both home and abroad have to take preventive tests and...

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Section: G G G T T T T T T T T T B B B T T T T T T T T Tmentioning

confidence: 99%

mentioning

confidence: 99%

Maintenance strategy decision for avionics system based on cognitive uncertainty information processing

Tu¹,

Sun²,

Zhang³

et al. 2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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show abstract

“…The PAR model assumes that the ith imperfect maintenance at t i will shorten the length of the last operation time from t i −t i-1 to ρ(t i −t i-1 ) [4]. The effective age after the ith imperfect maintenance is t-ρt i (t > t i ) that indicates that it has no relationship with the maintenance history prior to t i .…”

Section: The Par Modelmentioning

confidence: 99%

“…However, the inspection model considering imperfect maintenance based on the three-stage failure process is closer to reality but not developed. To model the imperfect maintenance at the time of inspection identifying the minor defective stage, we borrow the concept of proportional age reduction (PAR), which has been widely utilized in imperfect maintenance optimization modeling [4].…”

Section: Introductionmentioning

confidence: 99%

Inspection optimization model with imperfect maintenance based on a three-stage failure process

Yang¹,

Zhao²,

Kang³

et al. 2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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“…The recent among these studies comprise: a new risk-based quantitative approach for T&M scheduling and planning (Khan & Haddara, 2003), a risk-based model for the maintenance of a cross-country oil pipeline (Dey, Ogunlana, Gupta, & Tabucanon, 1998), an improved risk-based approach for maintenance modelling based on the proportional age reduction model and its application in the petrochemical industry (Hu, Cheng, Li, & Tang, 2009), a systematic safety management system model with application to the oil and gas industry (Santos-Reyes & Beard, 2009), a risk-based T&M procedure for an oil refinery (Bertolini et al, 2009), a risk-based maintenance strategy for a powergenerating plant (Krishnasamy, Khan, & Haddara, 2005), an optimizing hazard analysis review planning framework for complex chemical plants (Reniers, 2009), a technique for maximization of reliability-based benefit-to-cost ratio given optimal preventive maintenance schedule (Ghosh & Roy, 2009). …”

Section: State-of-the-artmentioning

confidence: 99%

Evaluation of risk and cost using an age-dependent unavailability modelling of test and maintenance for standby components

Kančev

Čepin

2011

Journal of Loss Prevention in the Process Industries

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Risk-based maintenance strategy and its applications in a petrochemical reforming reaction system

Cited by 38 publications

References 13 publications

Maintenance strategy decision for avionics system based on cognitive uncertainty information processing

Maintenance strategy decision for avionics system based on cognitive uncertainty information processing

Inspection optimization model with imperfect maintenance based on a three-stage failure process

Evaluation of risk and cost using an age-dependent unavailability modelling of test and maintenance for standby components

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