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Reliability engineering & system safety 20건

  1. [해외논문]   Inside Front Cover/Editorial Board  


    Reliability engineering & system safety v.160 ,pp. IFC , 2017 , 0951-8320 ,

    초록

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  2. [해외논문]   Inside Front Cover/Editorial Board   SCI SCIE SCOPUS


    Reliability engineering & system safety v.160 ,pp. IFC - IFC , 2017 , 0951-8320 ,

    초록

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  3. [해외논문]   Application of the NSGA-II algorithm to a multi-period inventory-redundancy allocation problem in a series-parallel system   SCI SCIE SCOPUS

    Alikar, Najmeh (Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia ) , Mousavi, Seyed Mohsen (Young Researchers and Elite Club, Qazvin Branch, Islamic Azad University, Qazvin ) , Raja Ghazilla, Raja Ariffin (Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia ) , Tavana, Madjid (Business Systems and Analytics Department, Distinguished Chair of Business Analytics, La Salle University, Philadelphia, United States ) , Olugu, Ezutah Udoncy (Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia)
    Reliability engineering & system safety v.160 ,pp. 1 - 10 , 2017 , 0951-8320 ,

    초록

    Abstract In this paper, we formulate a mixed-integer binary non-linear programming model to study a series-parallel multi-component multi-periodic inventory-redundancy allocation problem (IRAP). This IRAP is a novel redundancy allocation problem (RAP) because components (products) are purchased under an all unit discount (AUD) policy and then installed on a series-parallel system. The total budget available for purchasing the components, the storage space, the vehicle capacities, and the total weight of the system are limited. Moreover, a penalty function is used to penalize infeasible solutions, generated randomly. The overall goal is to find the optimal number of the components purchased for each subsystem so that the total costs including ordering cost, holding costs, and purchasing cost are minimized while the system reliability is maximized, simultaneously. A non-dominated sorting genetic algorithm-II (NSGA-II), a multi-objective particle swarm optimization (MOPSO), and a multi-objective harmony search (MOHS) algorithm are applied to obtain the optimal Pareto solutions. While no benchmark is available in the literature, some numerical examples are generated randomly to evaluate the results of NSGA-II on the proposed IRAP. The results are in favor of NSGA-II. Highlights An inventory control system employing an all-unit discount policy is considered in the proposed model. The proposed model considers limited total budget, storage space, transportation capacity, and total weight. Moreover, a penalty function is used to penalize infeasible solutions. The overall goal is to find the optimal number components purchased for each subsystem so that the total costs including ordering cost, holding cost and purchasing cost are minimized and the system reliability are maximized, simultaneously. A NSGA-II algorithm is derived where a multi-objective particle swarm optimization and a multi-objective harmony search algorithm are used to evaluate the NSGA-II results.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  4. [해외논문]   Multi-objective redundancy allocation problem for a system with repairable components considering instantaneous availability and strategy selection   SCI SCIE SCOPUS

    Kayedpour, Farjam (Corresponding author.) , Amiri, Maghsoud , Rafizadeh, Mahmoud , Shahryari Nia, Arash
    Reliability engineering & system safety v.160 ,pp. 11 - 20 , 2017 , 0951-8320 ,

    초록

    Abstract Many Studies have been conducted on Redundancy Allocation Problem (RAP), but only a few of them have considered designing systems which operate for a certain period of time. Such temporary systems are not meant to operate for a long period of time (e.g. a manufacturing cell designed to produce a unique product with a small window of opportunity). Due to this fact, the investigation of the reliability at an infinite time will not be helpful; instead designing a system which perform optimally in a short period of time is of importance. additionally RAP's are inherently complex and classified as NP-Hard, as a result most proposed approaches, consider a set of simplified assumptions. Among these assumptions are the calculation of availability in the steady state (a time in which a system becomes completely stable), the use of non-repairable components, and setting predetermined configuration strategy (parallel, cold or warm standby subsystems). Unfortunately, these simplified assumptions do not conform to the real world conditions. Therefore, this article intends to develop an integrated algorithm to solve the reliability design problem considering instantaneous availability, repairable components, and the selection of configuration strategies based on the Markov processes and NSGA-II algorithm.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  5. [해외논문]   System dynamic reliability assessment and failure prognostics   SCI SCIE SCOPUS

    Liu, Jie (Chair on System Science and the Energetic Challenge, EDF Foundation, CentraleSupélec, Université) , Zio, Enrico (Paris-Saclay, Grande voie des Vignes, 92290 Chatenay-Malabry, France )
    Reliability engineering & system safety v.160 ,pp. 21 - 36 , 2017 , 0951-8320 ,

    초록

    Abstract Traditionally, equipment reliability assessment is based on failure data from a population of similar equipment, somewhat giving an average description of the reliability performance of an equipment, not capturing the specificity of the individual equipment. Monitored degradation data of the equipment can be used to specify its behavior, rendering dynamic the reliability assessment and the failure prognostics of the equipment, as shown in some recent literature. In this paper, dynamic reliability assessment and failure prognostics with noisy monitored data are developed for a system composed of dependent components. Parallel Monte Carlo simulation and recursive Bayesian method are integrated in the proposed modelling framework to assess the reliability and to predict the Remaining Useful Life (RUL) of the system. The main contribution of the paper is to propose a framework to estimate the degradation state of a system composed of dependent degradation components whose conditions are monitored (even without knowing the initial system degradation state) and to dynamically assess the system risk and RUL. As case study, a subsystem of the residual heat removal system of a nuclear power plant is considered. The results shows the significance of the proposed method for tailored reliability assessment and failure prognostics. Highlights A system composed of dependent components is considered for reliability assessment. Each component may follow a multi-state or continuous degradation process. Noisy monitored data related to system degradation is considered for update. Recursive Bayesian method and Monte Carlo simulation are combined in the framework. A case study considering a subsystem in nuclear power plant is carried out.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  6. [해외논문]   Risk assessment of mitigated domino scenarios in process facilities   SCI SCIE SCOPUS

    Landucci, Gabriele (Dipartimento di Ingegneria Civile e Industriale, Università) , Necci, Amos (di Pisa, Largo Lucio Lazzarino n. 2, 56126 Pisa, Italy ) , Antonioni, Giacomo (LISES - Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Alma Mater Studiorum - Università) , Argenti, Francesca (di Bologna, via Terracini n. 28, 40131 Bologna, Italy ) , Cozzani, Valerio (LISES - Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Alma Mater Studiorum - Università)
    Reliability engineering & system safety v.160 ,pp. 37 - 53 , 2017 , 0951-8320 ,

    초록

    Abstract The propagation of accidents among process units may lead to severe cascading events or domino effects with catastrophic consequences. Prevention, mitigation and management of domino scenarios is of utmost importance and may be achieved in industrial facilities through the adoption of multiple safety layers. The present study was aimed at developing an innovative methodology to address the quantitative risk assessment (QRA) of domino scenarios accounting for the presence and role of safety barriers. Based on the expected performance of safety barriers, a dedicated event tree analysis allowed the identification and the assessment of the frequencies of the different end-point events deriving from unmitigated and partially mitigated domino chains. Specific criteria were introduced in consequence analysis to consider the mitigation effects of end-point scenarios deriving from safety barriers. Individual and societal risk indexes were calculated accounting for safety barriers and the mitigated scenarios that may result from their actions. The application of the methodology to case-studies of industrial interest proved the importance of introducing a specific systematic and quantitative analysis of safety barrier performance when addressing escalation leading to domino effect. Highlights A methodology was developed to account for safety barrier performance in escalation prevention. The methodology allows quantitative assessment accounting for safety barrier performance. A detailed analysis of transient mitigated scenarios is allowed by the developed procedure. The procedure allows accounting for safety barrier performance in QRA of domino scenarios. An important reduction in the risk due to domino scenarios is evidenced when considering safety barriers.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  7. [해외논문]   Safety engineering with COTS components   SCI SCIE SCOPUS

    O'Halloran, Mark (BAE Systems, UK ) , Hall, Jon G. (Department of Computing and Communications, The Open University, UK ) , Rapanotti, Lucia (Department of Computing and Communications, The Open University, UK)
    Reliability engineering & system safety v.160 ,pp. 54 - 66 , 2017 , 0951-8320 ,

    초록

    Abstract Safety-critical systems are becoming more widespread, complex and reliant on software. Increasingly they are engineered through (COTS) (Commercial Off The Shelf) components to alleviate the spiralling costs and development time, often in the context of complex supply chains. A parallel increased concern for safety has resulted in a variety of safety standards, with a growing consensus that a safety life cycle is needed which is fully integrated with the design and development life cycle, to ensure that safety has appropriate influence on the design decisions as system development progresses. In this article we explore the application of an integrated approach to safety engineering in which assurance drives the engineering process. The paper reports on the outcome of a case study on a live industrial project with a view to evaluate: its suitability for application in a real-world safety engineering setting; its benefits and limitations in counteracting some of the difficulties of safety engineering with (COTS) components across supply chains; and, its effectiveness in generating evidence which can contribute directly to the construction of safety cases. Highlights Assurance as effective driver for COTS-based safety-critical system development. Engages stakeholders, captures requirements and provides rich traceability. Shares appropriate safety requirements across the supply chain.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  8. [해외논문]   Safety outcomes for engineering asset management organizations: Old problem with new solutions?   SCI SCIE SCOPUS

    Novak, Jeremy (School of Business and Tourism, Southern Cross University, Queensland, Australia ) , Farr-Wharton, Ben (School of Business, University technology, Sydney, NSW, Australia ) , Brunetto, Yvonne (School of Business and Tourism, Southern Cross University, Queensland, Australia ) , Shacklock, Kate (Griffith Business School, Griffith University, Queensland, Australia ) , Brown, Kerry (Edith Cowan University, Western Australia, Australia)
    Reliability engineering & system safety v.160 ,pp. 67 - 73 , 2017 , 0951-8320 ,

    초록

    Abstract The issue of safety and longevity of engineering assets is of increasing importance because of their impact when disasters happen. This paper addresses a literature gap by examining the role of workplace relationships in employees' safety behaviour, and builds on the Resilience Engineering (RE) framework by examining some organisational culture factors affecting how employees behave. A Social Exchange framework is used to examine the impact of supervisor-employee relationships, employee commitment to safety practices, and the type of maintenance culture upon employees’ commitment to safety and safety outcomes. Survey data from 284 technical and engineering employees in engineering asset management organisations within Australia were analyzed using Structural Equation Modelling (SEM). Effective employee relationships with management and a proactive maintenance culture were associated with employee commitment to safety culture and safety outcomes. The findings provide empirical support for embedding an effective organisational culture focused on a proactive maintenance approach, along with ensuring employees are committed to safety processes, to ensure safety outcomes and also asset longevity. One study contribution is that good safety outcomes do not develop in a vacuum; instead they are built on effective workplace relationships. Therefore, SET helps to explain the forming of effective safety culture. Highlights Effective workplace relationships with management positively affect organisational safety outcomes. Supported maintenance cultures positively affect organisational safety outcomes. Asset longevity requires strong focus on maintenance and safety embedded in the work cultures and everyday practices of employees.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  9. [해외논문]   A trivariate optimal replacement policy for a deteriorating system based on cumulative damage and inspections   SCI SCIE SCOPUS

    Tsai, Hsin-Nan (Department of Statistics and Informatics Science, Providence University, Taichung 43301, Taiwan ) , Sheu, Shey-Huei (Department of Statistics and Informatics Science, Providence University, Taichung 43301, Taiwan ) , Zhang, Zhe George (Department of Decision Sciences, Western Washington University, Bellingham, WA 98225-9077, USA)
    Reliability engineering & system safety v.160 ,pp. 74 - 88 , 2017 , 0951-8320 ,

    초록

    Abstract In this article, we study a trivariate replacement model for a deteriorating system consisting of two units. Failures of unit 1 can be classified into two types. Type I failure (minor failure) is fixed by a minimal repair and type II failure (catastrophic failure) is removed by a replacement. Both types of failures can only be detected through inspection. Each type I failure of unit 1 will result in a random amount of damage to unit 2 and the damages are cumulative. The probability of type I failure or type II failure is assumed to depend on the number of failures since the last replacement. We formulate a replacement policy based on the number of type I failure, the occurrence of the first type II failure, and the amount of accumulative damages. Hence the system is replaced either preventively or correctively at any of the following four conditions depend on whichever occurs first; preventively (a) at the N th type I failure; or (b) when the total damage of unit 2 exceeds a pre-specified level Z (but less than the failure level l ); and, correctively (c) at the first type II failure; or (d) when the total damage of unit 2 exceeds a failure level l , where Z and l represent the thresholds of total damage level for unit 2 to preventive and corrective replacements, respectively. Although a type I failure can be fixed by a minimal repair, but the operating period is stochastically decreasing and repair time is stochastically increasing as time goes on. The minimal total expected long-run net cost per unit time of the system is derived and a computational algorithm for determining the optimal policy is developed. A real-world application from electric power industry is provided. Several past studied are shown to be special cases of our model. Finally, a numerical example is presented. Highlights A trivariate replacement policy for a deteriorating system with two units is proposed. A real-world application from the electric power industry is provided. The minimal total expected long-run net cost per unit time of the system is computed. A computational algorithm and a numerical example are presented. Several past studied are shown to be special cases of our model.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  10. [해외논문]   AC power flow importance measures considering multi-element failures   SCI SCIE SCOPUS

    Li, Jian (Beijing Key Laboratory of Metro Fire and Passenger Transportation Safety, China Academy of Safety Science and Technology, Beijing 100012, PR China ) , Dueñ (Department of Civil and Environmental Engineering, Rice University, Houston, TX 77005, USA ) , as-Osorio, Leonardo (Institute of Disaster Prevention Science and Safety Technology, Central South University, Changsha, Hunan 410075, PR China ) , Chen, Changkun (Beijing Key Laboratory of Metro Fire and Passenger Transportation Safety, China Academy of Safety Science and Technology, Beijing 100012, PR China) , Shi, Congling
    Reliability engineering & system safety v.160 ,pp. 89 - 97 , 2017 , 0951-8320 ,

    초록

    Abstract Quantifying the criticality of individual components of power systems is essential for overall reliability and management. This paper proposes an AC-based power flow element importance measure, while considering multi-element failures. The measure relies on a proposed AC-based cascading failure model, which captures branch overflow, bus load shedding, and branch failures, via AC power flow and optimal power flow analyses. Taking the IEEE 30, 57 and 118-bus power systems as case studies, we find that N -3 analyses are sufficient to measure the importance of a bus or branch. It is observed that for a substation bus, its importance is statistically proportional to its power demand, but this trend is not observed for power plant buses. While comparing with other reliability, functionality, and topology-based importance measures popular today, we find that a DC power flow model, although better correlated with the benchmark AC model as a whole, still fails to locate some critical elements. This is due to the focus of DC-based models on real power that ignores reactive power. The proposed importance measure is aimed to inform decision makers about key components in complex systems, while improving cascading failure prevention, system backup setting, and overall resilience. Highlights We propose a novel importance measure based on joint failures and AC power flow. A cascading failure model considers both AC power flow and optimal power flow. We find that N -3 analyses are sufficient to measure the importance of an element. Power demand impacts the importance of substations but less so that of generators. DC models fail to identify some key elements, despite correlating with AC models.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

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