The Experts below are selected from a list of 53637 Experts worldwide ranked by ideXlab platform
Bin Wu - One of the best experts on this subject based on the ideXlab platform.
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Power Efficiency estimation-based health monitoring and fault detection of modular and reconfigurable robot
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Jing Yuan, Guangjun Liu, Bin WuAbstract:The Power Efficiency degradation of machines often provides intrinsic indication of problems associated with their operation health conditions. Inspired by this observation, as presented in this paper, a simple yet effective Power Efficiency estimation-based health monitoring and fault detection technique is developed for a modular and reconfigurable robot (MRR) with a joint torque sensor. Power Efficiency coefficients of each joint module are obtained using sensor measurements and used directly for health monitoring and fault detection. The proposed method has been experimentally tested on an MRR that has been developed in our laboratory for working in human environments, which critically demands for efficient health monitoring and fault detection capabilities. Experimental results have demonstrated the effectiveness of the proposed method.
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Power Efficiency estimation based health monitoring and fault detection of modular and reconfigurable robot
2008 IEEE International Conference on Automation and Logistics, 2008Co-Authors: Jing Yuan, Bin WuAbstract:Power Efficiency degradation of machines often provides intrinsic indication of problems associated with their operation conditions. Inspired by this observation, in this paper, a simple yet effective Power Efficiency estimation based health monitoring and fault detection technique is proposed for modular and reconfigurable robot with joint torque sensor. Power Efficiency coefficients of each joint module are obtained using sensor measurements and used directly for health monitoring and fault detection. The proposed method has been experimentally tested on a modular and reconfigurable robot with joint torque sensing and a distributed control system. Experiment results have demonstrated the effectiveness of the proposed method.
Zhonghai Lu - One of the best experts on this subject based on the ideXlab platform.
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Pursuing Extreme Power Efficiency With PPCC Guided NoC DVFS
IEEE Transactions on Computers, 2020Co-Authors: Zhonghai LuAbstract:In sharp contrast to conventional performance indicative based Network-on-Chip (NoC) DVFS, where the direct relation between application performance and NoC Power consumption is missing, we exploit the concept of Performance-Power Characteristic Curve (PPCC) newly proposed in the literature to approach maximum NoC Power Efficiency. PPCC, which defines the direct relation between application performance and NoC Power consumption, consists of three distinct regions: an inertial region due to Power under-provisioning, a linear region for proportional performance gain, and a saturation region due to Power over-provisioning. With PPCC as a guidance, we propose $\Delta$ Δ -DVFS, which employs a “profile-then-select” strategy to step-by-step approach maximum NoC Power Efficiency. $\Delta$ Δ -DVFS is built on two observations. First, in multi-threaded applications, maximum NoC Power Efficiency is achieved at the boundary between the linear region and the saturation region on the PPCC. Second, PPCC stabilizes when threads repeat workloads of the same loop. This is intuitively meaningful because loop repetition stresses NoC with similar workload. Based on the observations, $\Delta$ Δ -DVFS uses the first several loop iterations for PPCC profiling. After the profiling is done, $\Delta$ Δ -DVFS selects and applies the optimal V/F that achieves maximum NoC Power Efficiency to the remaining loop iterations. To accurately and timely follow PPCC when threads proceed to different loops, $\Delta$ Δ -DVFS utilizes an H-tree loop monitor to detect loop change among distributive threads.
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Pursuing Extreme Power Efficiency With PPCC Guided NoC DVFS
IEEE Transactions on Computers, 2020Co-Authors: Zhonghai LuAbstract:In sharp contrast to conventional performance indicative based Network-on-Chip (NoC) DVFS, where the direct relation between application performance and NoC Power consumption is missing, we exploit the concept of Performance-Power Characteristic Curve (PPCC) newly proposed in the literature to approach maximum NoC Power Efficiency. PPCC, which defines the direct relation between application performance and NoC Power consumption, consists of three distinct regions: an inertial region due to Power under-provisioning, a linear region for proportional performance gain, and a saturation region due to Power over-provisioning. With PPCC as a guidance, we propose Δ-DVFS, which employs a “profile-then-select” strategy to step-by-step approach maximum NoC Power Efficiency. Δ-DVFS is built on two observations. First, in multi-threaded applications, maximum NoC Power Efficiency is achieved at the boundary between the linear region and the saturation region on the PPCC. Second, PPCC stabilizes when threads repeat workloads of the same loop. This is intuitively meaningful because loop repetition stresses NoC with similar workload. Based on the observations, Δ-DVFS uses the first several loop iterations for PPCC profiling. After the profiling is done, Δ-DVFS selects and applies the optimal V/F that achieves maximum NoC Power Efficiency to the remaining loop iterations. To accurately and timely follow PPCC when threads proceed to different loops, Δ-DVFS utilizes an H-tree loop monitor to detect loop change among distributive threads.
Hisatsugu Kato - One of the best experts on this subject based on the ideXlab platform.
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Design Technique of High Power Efficiency LLC DC-DC Converters for Photovoltaic Cells
Journal of Energy Technology Research, 2018Co-Authors: Hisatsugu Kato, Yoichi Ishizuka, Kohei Ueda, Shotaro Karasuyama, Atsushi OgasaharaAbstract:This paper proposes a design technique of high Power Efficiency LLC DC-DC Converters for Photovoltaic Cells. The secondary side circuit and transformer fabrication of proposed circuit are optimized for overcoming the disadvantage of limited input voltage range and, realizing high Power Efficiency over a wide load range of LLC DC-DC converters. The optimized technique is described with theoretically and with simulation results. Some experimental results have been obtained with the prototype circuit designed for the 80 - 400 V input voltage range. The maximum Power Efficiency is 98 %.
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Power Efficiency improvement of the composite resonant DC-DC converter
2012 International Conference on Renewable Energy Research and Applications (ICRERA), 2012Co-Authors: Hisatsugu Kato, Yoichi IshizukaAbstract:This paper deals with the Power Efficiency improvement of the composite resonant DC-DC converter, which is developed to be applied to the Power conditioner of the photovoltaic generation system. To improve the Power Efficiency, following three approaches are taken: 1) optimum design of the transformer 2) use of the voltage doubler rectifier. 3) reduction of the winding loss of the transformer. The maximum Power Efficiency of 98.0% can be realized.
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Power Efficiency improvement of the full bridge current resonant DC-DC converter
2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC), 2011Co-Authors: Hisatsugu Kato, Hirofumi Matsuo, Shuhei Kawazu, Daiki Kawahara, Satoshi Motomura, Ryota HamaguchieAbstract:This paper deals with a Power Efficiency improvement of the full bridge current resonant DC-DC converter, which is developed to be applied to the Power conditioner of the fuel cell generation system. The loss by the backward current of the side rectification diode can be decreased with a voltage doubler rectifier. The center tap rectifier is used for the conventional full bridge current resonant converter. The recovery loss of the rectifier diode can be decreased by using the voltage doubler rectifier. The maximum Power Efficiency of the proposed DC-DC converters is 97.4%.
Jingmin Tang - One of the best experts on this subject based on the ideXlab platform.
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CHINACOM - Power Efficiency maximization based on cognitive relay transmission
7th International Conference on Communications and Networking in China, 2012Co-Authors: Yaolian Song, Guangzeng Feng, Jingmin TangAbstract:Cognitive radio is a promising technology. The spectrum scarcity problem can be overcome by enabling unlicensed users to access the licensed spectrum bands. In this paper, we focus on Power Efficiency maximization of cognitive system by jointly considering the parameters of spectrum sensing time and transmit Power. In addition, we propose to investigate Power Efficiency of cognitive relay transmission scheme based on that of non-relay transmission. Finally, we provide the simulation results to show that the throughput and Power Efficiency of the proposed approach can be significantly improved compared to that of the non-relay transmission scheme in cognitive radio networks. Furthermore, numerical results demonstrate that there exist the optimal parameters to maximize Power Efficiency.
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Power Efficiency maximization based on cognitive relay transmission
7th International Conference on Communications and Networking in China, 2012Co-Authors: Yaolian Song, Guangzeng Feng, Jingmin TangAbstract:Cognitive radio is a promising technology. The spectrum scarcity problem can be overcome by enabling unlicensed users to access the licensed spectrum bands. In this paper, we focus on Power Efficiency maximization of cognitive system by jointly considering the parameters of spectrum sensing time and transmit Power. In addition, we propose to investigate Power Efficiency of cognitive relay transmission scheme based on that of non-relay transmission. Finally, we provide the simulation results to show that the throughput and Power Efficiency of the proposed approach can be significantly improved compared to that of the non-relay transmission scheme in cognitive radio networks. Furthermore, numerical results demonstrate that there exist the optimal parameters to maximize Power Efficiency.
Jing Yuan - One of the best experts on this subject based on the ideXlab platform.
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Power Efficiency estimation-based health monitoring and fault detection of modular and reconfigurable robot
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Jing Yuan, Guangjun Liu, Bin WuAbstract:The Power Efficiency degradation of machines often provides intrinsic indication of problems associated with their operation health conditions. Inspired by this observation, as presented in this paper, a simple yet effective Power Efficiency estimation-based health monitoring and fault detection technique is developed for a modular and reconfigurable robot (MRR) with a joint torque sensor. Power Efficiency coefficients of each joint module are obtained using sensor measurements and used directly for health monitoring and fault detection. The proposed method has been experimentally tested on an MRR that has been developed in our laboratory for working in human environments, which critically demands for efficient health monitoring and fault detection capabilities. Experimental results have demonstrated the effectiveness of the proposed method.
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Power Efficiency estimation based health monitoring and fault detection of modular and reconfigurable robot
2008 IEEE International Conference on Automation and Logistics, 2008Co-Authors: Jing Yuan, Bin WuAbstract:Power Efficiency degradation of machines often provides intrinsic indication of problems associated with their operation conditions. Inspired by this observation, in this paper, a simple yet effective Power Efficiency estimation based health monitoring and fault detection technique is proposed for modular and reconfigurable robot with joint torque sensor. Power Efficiency coefficients of each joint module are obtained using sensor measurements and used directly for health monitoring and fault detection. The proposed method has been experimentally tested on a modular and reconfigurable robot with joint torque sensing and a distributed control system. Experiment results have demonstrated the effectiveness of the proposed method.
