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机构地区:[1]西南交通大学机械工程学院,四川成都610031
出 处:《西南交通大学学报》2013年第1期10-15,共6页Journal of Southwest Jiaotong University
基 金:中央高校基本科研业务费专项资金资助项目(SWJTU11BR019);国家科技计划支撑项目(2007BAG05B00)
摘 要:为解决人工磁瓦表面缺陷检测质量不稳定的问题,提出了一种自动检测磁瓦表面缺陷的方法.首先利用磁瓦轮廓长度、面积等几何特征及轮廓匹配的相似度作为特征向量,采用支持向量机进行初次分类;然后再利用对凸凹缺陷的分析,得到缺陷数量和面积作为特征向量,采用最小均方误差分类器进行二次分类;最后对上述2步结果做与运算,得出最终判断.实验表明本方法可以达到正确识别率约为91.80%,错误接受率约为0.75%,正确拒绝率约为14.00%.In order to study the effects of active and semi-active technologies on pantograph performances, dynamic models for sliding mode active and semi-active control of pantographs are established. Based on the models, dynamic performances of the high-speed pantograph-catenary system under passive control, sliding mode active control, and sliding mode semi-active control are simulated using software Simulink. The influences of active control and semi-active control on the dynamic performances and current-receiving quality of the pantograph-catenary system are analyzed. The results show that the pantograph-catenary vibration can be suppressed effectively by the sliding mode active or semi-active control strategies, with a vibration magnitude reduction of 10% to 20%. The pantograph semi-active control is characterized by low external energy demand, unconditional stability of the control process, close effect to the active control, and will become an important method to improve the vibration performance of pantographs in high-speed conditions.
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