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    A new approach for the reliability-based robust design optimization of mechanical systems under the uncertain conditions

    , Article SAE Technical Papers, 10 April 2018 through 12 April 2018 ; Volume 2018-April , 2018 ; 01487191 (ISSN) Khodaygan, S ; Sharafi, M. H ; Sharif University of Technology
    SAE International  2018
    Abstract
    A mechanical system inherently affected by the conditions, factors, and parameters of uncertainties. Without including the uncertainty effects in the design procedure, the designs may not be robust and reliable. Robust design optimization (RDO) method is a procedure to find the insensitive design with respect to the variations. On the other hand, reliability is measured by the probability of satisfying a specific design criterion. Therefore, a reliable design is a design that satisfies the specified criteria even with some uncertainties in variables and parameters. Reliability-based design optimization (RBDO) is an optimization procedure that incorporates reliability requirements to find the... 

    Identifying critical components for reliability centred maintenance management of deregulated power systems

    , Article IET Generation, Transmission and Distribution ; Volume 9, Issue 9 , 2015 , Pages 828-837 ; 17518687 (ISSN) Ghorani, R ; Fotuhi Firuzabad, M ; Dehghanian, P ; Li, W ; Sharif University of Technology
    Abstract
    Competition in the electric power industry urges utilities to not only reduce the investment costs, but also to reasonably cut the operation and maintenance expenses as much as possible, while keeping both power quality and reliability requirements met. Reliability-centred maintenance (RCM) has been proven to be in response to this dilemma in power systems and has been yet successfully applied in various engineering contexts. This study introduces a novel approach, as of the first steps of RCM implementation in composite power generation and transmission systems, to identify the critical components for the main sake of a more focused maintenance management. Criticality evaluation is, here,... 

    REALISM: Reliability-aware energy management in multi-level mixed-criticality systems with service level degradation

    , Article Journal of Systems Architecture ; Volume 117 , 2021 ; 13837621 (ISSN) Sobhani, H ; Safari, S ; Saber Latibari, J ; Hessabi, S ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Mixed-criticality embedded systems, as the next-generation of safety-critical systems, are increasingly employed in the industry due to consolidating functionalities with varying criticality levels onto the same computing platform. Technology scaling, battery-supplied design, and heavy computation in mixed-criticality systems necessitate employing energy management techniques. Due to the degrading effects of these techniques on the system's reliability, minimizing energy consumption and meeting tasks’ timing constraints without sacrificing the reliability requirement is a vital challenge in designing mixed-criticality systems. In this paper, we propose REALISM; a novel Reliability- and... 

    On the scheduling of energy-aware fault-tolerant mixed-criticality multicore systems with service guarantee exploration

    , Article IEEE Transactions on Parallel and Distributed Systems ; Volume 30, Issue 10 , 2019 , Pages 2338-2354 ; 10459219 (ISSN) Safari, S ; Ansari, M ; Ershadi, G ; Hessabi, S ; Sharif University of Technology
    IEEE Computer Society  2019
    Abstract
    Advancement of Cyber-Physical Systems has attracted attention to Mixed-Criticality Systems (MCSs), both in research and in industrial designs. As multicore platforms are becoming the dominant trend in MCSs, joint energy and reliability management is a crucial issue. In addition, providing guaranteed service level for low-criticality tasks in critical mode is of great importance. To address these problems, we propose LETR-MC scheme that simultaneously supports certification, energy management, fault-tolerance, and guaranteed service level in mixed-criticality multicore systems. In this paper, we exploit task-replication to not only satisfy reliability requirements, but also to improve the QoS... 

    Optimal reserve capacity allocation with consideration of customer reliability requirements

    , Article Energy ; Vol. 35, issue. 9 , 2010 , p. 3883-3890 ; ISSN: 03605442 Najafi, M ; Ehsan, M ; Fotuhi-Firuzabad, M ; Akhavein, A ; Afshar, K ; Sharif University of Technology
    Abstract
    An algorithm for determining optimal reserve capacity in a power market is presented in this paper. Optimization process in the proposed algorithm is based on the cost-benefit trade off. Market clearance is executed with consideration of uncertainties of power system components in an aggregated environment. It is assumed that both generating units and interruptible loads participate in the reserve market. In addition, customers' reliability requirements are considered as constraints for decision making process of ISO. The rendered method considers random outages of generating units and transmission lines and determined outage of interruptible loads and employs Monte Carlo Simulation (MCS)... 

    Optimal reserve capacity allocation with consideration of customer reliability requirements

    , Article Energy ; Volume 35, Issue 9 , 2010 , Pages 3883-3890 ; 03605442 (ISSN) Najafi, M ; Ehsan, M ; Fotuhi Firuzabad, M ; Akhavein, A ; Afshar, K ; Sharif University of Technology
    2010
    Abstract
    An algorithm for determining optimal reserve capacity in a power market is presented in this paper. Optimization process in the proposed algorithm is based on the cost-benefit trade off. Market clearance is executed with consideration of uncertainties of power system components in an aggregated environment. It is assumed that both generating units and interruptible loads participate in the reserve market. In addition, customers' reliability requirements are considered as constraints for decision making process of ISO. The rendered method considers random outages of generating units and transmission lines and determined outage of interruptible loads and employs Monte Carlo Simulation (MCS)...