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Sun Mingzhu - One of the best experts on this subject based on the ideXlab platform.

  • number decision method for Spare Component based on reliability distribution
    Ship Electronic Engineering, 2013
    Co-Authors: Sun Mingzhu
    Abstract:

    The number decision for Spare Component in equipment efficient support is studied in this paper.According to reliability distribution theory,allocate the reliability of equipment to every Component,the importance of each Component has been take into account.Connecting the relationship number of Spare Component and reliability,we raise the number decision method for Spare Component based on reliability distribution.An example is given at last,it shows that this method meet our think habit and correspond to reality.Additionally,this method is handled easily.

Jong-woo Lee - One of the best experts on this subject based on the ideXlab platform.

  • Reliability Analysis for Train Control System by Hardware Redundancy Architecture in Fault Tolerance System
    Journal of International Council on Electrical Engineering, 2011
    Co-Authors: Min-seok Kim, Min-kyu Kim, Jong-woo Lee
    Abstract:

    Train control system is a vital system due to controlling the speed and interlocking of train in railway. The train control system is designed by double module or triple module system as a vital system. Hardware redundancy means to use additional hardware to defect and tolerant faults. There are three forms of hardware redundancy: passive, active and hybrid. Passive redundancy architecture achieves fault tolerance by masking the faults that occur without requiring any action on the part of the system or an operator. Active redundancy architecture requires a fault to be detected before it can be tolerated. After the detection of the fault, the actions of location, containment and recovery are performed to remove the faulty Component from the system. Hybrid redundancy architecture combines passive and active approaches. Fault masking is used to prevent generation of erroneous results. Fault detection, location and recovery are used to replace the faulty Component with a Spare Component. In this paper, the architecture and reliability model are presented through the passive, active, hybrid redundancy architecture. Also, the reliability in the train control system is analyzed through changing time using Matlab program.

Min Xie - One of the best experts on this subject based on the ideXlab platform.

  • joint maintenance and Spare Component provisioning policy for k out of n systems
    Asia-Pacific Journal of Operational Research, 2013
    Co-Authors: Liangpeng Chen, Min Xie
    Abstract:

    This study develops an analytic framework for joint modeling of age-based preventive maintenance and (s, Q) Spare Component provisioning policy for k-out-of-n:G systems with i.i.d. nonrepairable Components. We assume that during system maintenance, instead of discarding the whole system, only failed Components are replaced by Spares if the on-handSpares are sufficient. The objective is to determine a proper preventive maintenance interval and the ordering parameters to minimize the undiscounted long run average cost under a system availability constraint. Our study sheds light on the lumpy demand scenario in the problems of joint modeling of preventive maintenance and Spare provisioning.

Min-seok Kim - One of the best experts on this subject based on the ideXlab platform.

  • Reliability Analysis for Train Control System by Hardware Redundancy Architecture in Fault Tolerance System
    Journal of International Council on Electrical Engineering, 2011
    Co-Authors: Min-seok Kim, Min-kyu Kim, Jong-woo Lee
    Abstract:

    Train control system is a vital system due to controlling the speed and interlocking of train in railway. The train control system is designed by double module or triple module system as a vital system. Hardware redundancy means to use additional hardware to defect and tolerant faults. There are three forms of hardware redundancy: passive, active and hybrid. Passive redundancy architecture achieves fault tolerance by masking the faults that occur without requiring any action on the part of the system or an operator. Active redundancy architecture requires a fault to be detected before it can be tolerated. After the detection of the fault, the actions of location, containment and recovery are performed to remove the faulty Component from the system. Hybrid redundancy architecture combines passive and active approaches. Fault masking is used to prevent generation of erroneous results. Fault detection, location and recovery are used to replace the faulty Component with a Spare Component. In this paper, the architecture and reliability model are presented through the passive, active, hybrid redundancy architecture. Also, the reliability in the train control system is analyzed through changing time using Matlab program.

Liangpeng Chen - One of the best experts on this subject based on the ideXlab platform.

  • joint maintenance and Spare Component provisioning policy for k out of n systems
    Asia-Pacific Journal of Operational Research, 2013
    Co-Authors: Liangpeng Chen, Min Xie
    Abstract:

    This study develops an analytic framework for joint modeling of age-based preventive maintenance and (s, Q) Spare Component provisioning policy for k-out-of-n:G systems with i.i.d. nonrepairable Components. We assume that during system maintenance, instead of discarding the whole system, only failed Components are replaced by Spares if the on-handSpares are sufficient. The objective is to determine a proper preventive maintenance interval and the ordering parameters to minimize the undiscounted long run average cost under a system availability constraint. Our study sheds light on the lumpy demand scenario in the problems of joint modeling of preventive maintenance and Spare provisioning.