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Replacement and Maintenance Decision Analysis for Hydraulic Machinery Facilities at Reservoirs under Imperfect Maintenance

Author

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  • Sou-Sen Leu

    (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, 43 Sec. 4, Keeling Rd., Taipei 106335, Taiwan)

  • Tao-Ming Ying

    (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, 43 Sec. 4, Keeling Rd., Taipei 106335, Taiwan)

Abstract

After the long-term operation of reservoir facilities, they will become nonoperational due to the material deterioration and the performance degradation. One of crucial decisions is to determine the maintenance or replacement of the facilities in a cost-effective manner. Conventional replacement models seldom consider the maintenance effect. The facilities after maintenance are generally not as good as new, but are relatively restored. The target of this study is to establish a replacement decision model of the reservoir facilities under imperfect maintenance. By combining the theories of reliability analysis, imperfect maintenance, and engineering economics, the best timing of replacement that achieves cost-effectiveness is analyzed and proposed. Lastly, based on the design of experiments (DOE) and simulation, the regression curve chart for the economical replacement decision is established. Once the failure rate, the age of recovery after maintenance, and the ratio of maintenance cost to replacement cost are estimated based on historical data, the cost-effective replacement time of hydraulic machinery facilities will be efficiently determined.

Suggested Citation

  • Sou-Sen Leu & Tao-Ming Ying, 2020. "Replacement and Maintenance Decision Analysis for Hydraulic Machinery Facilities at Reservoirs under Imperfect Maintenance," Energies, MDPI, vol. 13(10), pages 1-10, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2507-:d:358828
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    References listed on IDEAS

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    Cited by:

    1. Weichao Yan & Fujing Sun & Jianmeng Sun & Naser Golsanami, 2021. "Distribution Model of Fluid Components and Quantitative Calculation of Movable Oil in Inter-Salt Shale Using 2D NMR," Energies, MDPI, vol. 14(9), pages 1-17, April.

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