The Experts below are selected from a list of 93 Experts worldwide ranked by ideXlab platform
Yuhsueh Lin - One of the best experts on this subject based on the ideXlab platform.
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comparative analysis of the machine repair problem with imperfect coverage and Service Pressure condition
Applied Mathematical Modelling, 2013Co-Authors: Kuohsiung Wang, Chengdar Liou, Yuhsueh LinAbstract:Abstract In this paper we analyze the warm-standby M/M/R machine repair problem with multiple imperfect coverage which involving the Service Pressure condition. When an operating machine (or warm standby) fails, it may be immediately detected, located, and replaced with a coverage probability c by a standby if one is available. We use a recursive method to develop the steady-state analytic solutions which are used to calculate various system performance measures. The total expected profit function per unit time is derived to determine the joint optimal values at the maximum profit. We first utilize the direct search method to measure the various characteristics of the profit function followed by Quasi-Newton method to search the optimal solutions. Furthermore, the particle swarm optimization (PSO) algorithm is implemented to find the optimal combinations of parameters in the pursuit of maximum profit. Finally, a comparative analysis of the Quasi-Newton method with the PSO algorithm has demonstrated that the PSO algorithm provides a powerful tool to perform the optimization problem.
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comparative analysis of the machine repair problem with imperfect coverage and Service Pressure condition
Journal of Physics: Conference Series, 2013Co-Authors: Kuohsiung Wang, Chengdar Liou, Yuhsueh LinAbstract:We analyze the warm-standby M/M/R machine repair problem with multiple imperfect coverage which involving the Service Pressure condition. When an operating machine (or warm standby) fails, it may be immediately detected, located, and replaced with a coverage probability c by a standby if one is available. A recursive method is used to develop the steady-state analytic solutions. The total expected profit function per unit time is derived to determine the joint optimal values at the maximum profit. We utilize the direct search method to measure the various characteristics of the profit function followed by Quasi-Newton method to search the optimal solutions.
Kuohsiung Wang - One of the best experts on this subject based on the ideXlab platform.
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reliability and sensitivity analysis of a repairable system with imperfect coverage under Service Pressure condition
Journal of Manufacturing Systems, 2013Co-Authors: Kuohsiung Wang, Tsengchang Yen, Jenju JianAbstract:Abstract This paper investigates reliability and sensitivity analysis of a repairable system with imperfect coverage under Service Pressure condition. Failure times and repair times of failed units are assumed to be exponentially distributed. As a unit fails, it may be immediately detected, located and replaced with a coverage probability c by a standby if one is available. When the repairmen are under the Pressure of a long queue, the repairmen may increase the repair rate to reduce the queue length. We derive the explicit expressions for reliability function and mean time to system failure ( MTTF ). Various cases are analyzed to study the effects of different parameters on the system reliability and MTTF . We also accomplish sensitivity analysis and relative sensitivity analysis of the reliability characteristics with respect to system parameters.
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comparative analysis of the machine repair problem with imperfect coverage and Service Pressure condition
Applied Mathematical Modelling, 2013Co-Authors: Kuohsiung Wang, Chengdar Liou, Yuhsueh LinAbstract:Abstract In this paper we analyze the warm-standby M/M/R machine repair problem with multiple imperfect coverage which involving the Service Pressure condition. When an operating machine (or warm standby) fails, it may be immediately detected, located, and replaced with a coverage probability c by a standby if one is available. We use a recursive method to develop the steady-state analytic solutions which are used to calculate various system performance measures. The total expected profit function per unit time is derived to determine the joint optimal values at the maximum profit. We first utilize the direct search method to measure the various characteristics of the profit function followed by Quasi-Newton method to search the optimal solutions. Furthermore, the particle swarm optimization (PSO) algorithm is implemented to find the optimal combinations of parameters in the pursuit of maximum profit. Finally, a comparative analysis of the Quasi-Newton method with the PSO algorithm has demonstrated that the PSO algorithm provides a powerful tool to perform the optimization problem.
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comparative analysis of the machine repair problem with imperfect coverage and Service Pressure condition
Journal of Physics: Conference Series, 2013Co-Authors: Kuohsiung Wang, Chengdar Liou, Yuhsueh LinAbstract:We analyze the warm-standby M/M/R machine repair problem with multiple imperfect coverage which involving the Service Pressure condition. When an operating machine (or warm standby) fails, it may be immediately detected, located, and replaced with a coverage probability c by a standby if one is available. A recursive method is used to develop the steady-state analytic solutions. The total expected profit function per unit time is derived to determine the joint optimal values at the maximum profit. We utilize the direct search method to measure the various characteristics of the profit function followed by Quasi-Newton method to search the optimal solutions.
M S Prabhuswamy - One of the best experts on this subject based on the ideXlab platform.
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Design, Fabrication, and Testing of Epoxy/ Glass-reinforced Pressure Vessel for High-Pressure Gas Storage
2016Co-Authors: B Shivamurthy, Sullia D. K. Karnataka, M S PrabhuswamyAbstract:ABSTRACT: The design, fabrication, and testing of an epoxy-glass reinforced polymer composite Pressure vessel suitable for high-Pressure gas storage have been reported. In this study compo-site Pressure vessels are made up of aluminum alloy 6063 seamless liner and glass/epoxy composite reinforcement. The aluminum liner, which is developed by extruded aluminum tube of internal diameter 141mm and wall thickness 4mm, is subjected to super plastic deformation. Continuous glass fibers impregnated in epoxy resin are wound on the seamless liner by filament winding process. In this work, 10 Pressure vessels were manufactured for 3.5MPa Service Pressure with marginal safety of 3. Four Pressure vessels were subjected to cyclic and burst test; the burst Pressures were 10.9, 11.0, 11.0, and 13.0MPa. KEY WORDS: glass fiber, epoxy, super plastic deformation, design of composite Pressure vessels, burst test, filament winding
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design fabrication and testing of epoxy glass reinforced Pressure vessel for high Pressure gas storage
Journal of Reinforced Plastics and Composites, 2010Co-Authors: B Shivamurthy, M S PrabhuswamyAbstract:The design, fabrication, and testing of an epoxy-glass reinforced polymer composite Pressure vessel suitable for high-Pressure gas storage have been reported. In this study composite Pressure vessels are made up of aluminum alloy 6063 seamless liner and glass/epoxy composite reinforcement. The aluminum liner, which is developed by extruded aluminum tube of internal diameter 141 mm and wall thickness 4 mm, is subjected to super plastic deformation. Continuous glass fibers impregnated in epoxy resin are wound on the seamless liner by filament winding process. In this work, 10 Pressure vessels were manufactured for 3.5 MPa Service Pressure with marginal safety of 3. Four Pressure vessels were subjected to cyclic and burst test; the burst Pressures were 10.9, 11.0, 11.0, and 13.0 MPa.
B Shivamurthy - One of the best experts on this subject based on the ideXlab platform.
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Design, Fabrication, and Testing of Epoxy/ Glass-reinforced Pressure Vessel for High-Pressure Gas Storage
2016Co-Authors: B Shivamurthy, Sullia D. K. Karnataka, M S PrabhuswamyAbstract:ABSTRACT: The design, fabrication, and testing of an epoxy-glass reinforced polymer composite Pressure vessel suitable for high-Pressure gas storage have been reported. In this study compo-site Pressure vessels are made up of aluminum alloy 6063 seamless liner and glass/epoxy composite reinforcement. The aluminum liner, which is developed by extruded aluminum tube of internal diameter 141mm and wall thickness 4mm, is subjected to super plastic deformation. Continuous glass fibers impregnated in epoxy resin are wound on the seamless liner by filament winding process. In this work, 10 Pressure vessels were manufactured for 3.5MPa Service Pressure with marginal safety of 3. Four Pressure vessels were subjected to cyclic and burst test; the burst Pressures were 10.9, 11.0, 11.0, and 13.0MPa. KEY WORDS: glass fiber, epoxy, super plastic deformation, design of composite Pressure vessels, burst test, filament winding
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design fabrication and testing of epoxy glass reinforced Pressure vessel for high Pressure gas storage
Journal of Reinforced Plastics and Composites, 2010Co-Authors: B Shivamurthy, M S PrabhuswamyAbstract:The design, fabrication, and testing of an epoxy-glass reinforced polymer composite Pressure vessel suitable for high-Pressure gas storage have been reported. In this study composite Pressure vessels are made up of aluminum alloy 6063 seamless liner and glass/epoxy composite reinforcement. The aluminum liner, which is developed by extruded aluminum tube of internal diameter 141 mm and wall thickness 4 mm, is subjected to super plastic deformation. Continuous glass fibers impregnated in epoxy resin are wound on the seamless liner by filament winding process. In this work, 10 Pressure vessels were manufactured for 3.5 MPa Service Pressure with marginal safety of 3. Four Pressure vessels were subjected to cyclic and burst test; the burst Pressures were 10.9, 11.0, 11.0, and 13.0 MPa.
Chengdar Liou - One of the best experts on this subject based on the ideXlab platform.
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comparative analysis of the machine repair problem with imperfect coverage and Service Pressure condition
Applied Mathematical Modelling, 2013Co-Authors: Kuohsiung Wang, Chengdar Liou, Yuhsueh LinAbstract:Abstract In this paper we analyze the warm-standby M/M/R machine repair problem with multiple imperfect coverage which involving the Service Pressure condition. When an operating machine (or warm standby) fails, it may be immediately detected, located, and replaced with a coverage probability c by a standby if one is available. We use a recursive method to develop the steady-state analytic solutions which are used to calculate various system performance measures. The total expected profit function per unit time is derived to determine the joint optimal values at the maximum profit. We first utilize the direct search method to measure the various characteristics of the profit function followed by Quasi-Newton method to search the optimal solutions. Furthermore, the particle swarm optimization (PSO) algorithm is implemented to find the optimal combinations of parameters in the pursuit of maximum profit. Finally, a comparative analysis of the Quasi-Newton method with the PSO algorithm has demonstrated that the PSO algorithm provides a powerful tool to perform the optimization problem.
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comparative analysis of the machine repair problem with imperfect coverage and Service Pressure condition
Journal of Physics: Conference Series, 2013Co-Authors: Kuohsiung Wang, Chengdar Liou, Yuhsueh LinAbstract:We analyze the warm-standby M/M/R machine repair problem with multiple imperfect coverage which involving the Service Pressure condition. When an operating machine (or warm standby) fails, it may be immediately detected, located, and replaced with a coverage probability c by a standby if one is available. A recursive method is used to develop the steady-state analytic solutions. The total expected profit function per unit time is derived to determine the joint optimal values at the maximum profit. We utilize the direct search method to measure the various characteristics of the profit function followed by Quasi-Newton method to search the optimal solutions.
