在分析小电流接地系统中传统小波包选线方法的优势与不足的基础上,提出一种基于多孔算法小波包变换的多频带分量重构自适应选线新方法:首先根据系统运行方式和线路参数确定出选择频带(selected frequency band,SFB)的范围,然后利用多孔...在分析小电流接地系统中传统小波包选线方法的优势与不足的基础上,提出一种基于多孔算法小波包变换的多频带分量重构自适应选线新方法:首先根据系统运行方式和线路参数确定出选择频带(selected frequency band,SFB)的范围,然后利用多孔算法小波包变换良好的分频特性与保持线性相位的性质,对故障零序电流采样数据进行多尺度分解,自适应地选择落在SFB范围内的多频带分量进行重构,极大限度地提取了有效的故障零序电流分量信息,并构造出能综合利用小波包重构系数幅值与极性信息的选线算法,进一步提高了选线灵敏度。理论分析和大量的PSCAD仿真表明,该方法有效地提高了故障选线的准确性,其灵敏度高,自适应能力强,同时适用于中性点不接地系统和中性点经消弧线圈接地系统。展开更多
Air film conveyors equipped with porous pads have been developed to bring the liquid crystal display(LCD) into a non-contact state during transportation process. In this work, a theoretical model including flow proper...Air film conveyors equipped with porous pads have been developed to bring the liquid crystal display(LCD) into a non-contact state during transportation process. In this work, a theoretical model including flow property of porous media and Reynolds equation is established within a representative region in order to optimize the design parameters of a partial porous air conveyor. With the theoretical model, an optimization method using nondominated sorting genetic algorithm – II(NSGA-II) is applied for a two-objective optimization to achieve a minimum air consumption and maximum load capacity. Three Pareto-optimal solutions are selected to analyze the influence of each parameter on the characteristics of the air conveyor, and the results indicate that the position of the porous pads has the most significant impact on the performance and of course must be determined with care. Furthermore, experimental results in terms of the supporting force versus gap clearance show that the optimized air conveyor can greatly improve the load capacity over the normal one, indicating that the optimization method is applicable for practical use.展开更多
文摘在分析小电流接地系统中传统小波包选线方法的优势与不足的基础上,提出一种基于多孔算法小波包变换的多频带分量重构自适应选线新方法:首先根据系统运行方式和线路参数确定出选择频带(selected frequency band,SFB)的范围,然后利用多孔算法小波包变换良好的分频特性与保持线性相位的性质,对故障零序电流采样数据进行多尺度分解,自适应地选择落在SFB范围内的多频带分量进行重构,极大限度地提取了有效的故障零序电流分量信息,并构造出能综合利用小波包重构系数幅值与极性信息的选线算法,进一步提高了选线灵敏度。理论分析和大量的PSCAD仿真表明,该方法有效地提高了故障选线的准确性,其灵敏度高,自适应能力强,同时适用于中性点不接地系统和中性点经消弧线圈接地系统。
基金Project(51205174)supported by the National Natural Science Foundation of ChinaProject(2014M550309)supported by the Postdoctoral Science Foundation of ChinaProject(GZKF-201407)supported by the Open Foundation of the State Key Laboratory of Fluid Power Transmission and Control,China
文摘Air film conveyors equipped with porous pads have been developed to bring the liquid crystal display(LCD) into a non-contact state during transportation process. In this work, a theoretical model including flow property of porous media and Reynolds equation is established within a representative region in order to optimize the design parameters of a partial porous air conveyor. With the theoretical model, an optimization method using nondominated sorting genetic algorithm – II(NSGA-II) is applied for a two-objective optimization to achieve a minimum air consumption and maximum load capacity. Three Pareto-optimal solutions are selected to analyze the influence of each parameter on the characteristics of the air conveyor, and the results indicate that the position of the porous pads has the most significant impact on the performance and of course must be determined with care. Furthermore, experimental results in terms of the supporting force versus gap clearance show that the optimized air conveyor can greatly improve the load capacity over the normal one, indicating that the optimization method is applicable for practical use.
