分析了SF6气体绝缘金属封闭开关设备(gas insulated metal enclosed switchgear and controlgear,GIS)局部放电产生的原因,结合现场应用实例,对2种GIS局部放电在线检测技术——超声波检测技术和特高频检测技术进行了应用比较,结果表明...分析了SF6气体绝缘金属封闭开关设备(gas insulated metal enclosed switchgear and controlgear,GIS)局部放电产生的原因,结合现场应用实例,对2种GIS局部放电在线检测技术——超声波检测技术和特高频检测技术进行了应用比较,结果表明特高频检测法灵敏度高、抗电磁干扰能力强、有效测量范围大,能准确检测GIS内部绝缘缺陷,适用于长期在线监测;超声波检测法定位准确,可作为特高频检测法的补充和辅助手段;2种方法综合利用可有效发现绝缘缺陷并实现准确定位。展开更多
An algorithm was proposed to fast recognize three types of underwater micro-terrain, i.e. the level, the gradient and the uneven. With pendulum single beam bathymeter, the hard level concrete floor, the random uneven ...An algorithm was proposed to fast recognize three types of underwater micro-terrain, i.e. the level, the gradient and the uneven. With pendulum single beam bathymeter, the hard level concrete floor, the random uneven floor and the gradient wood panel (8-) were ultrasonically detected 20 times, respectively. The results show that the algorithm is right from fact that the first clustering values of the uneven are all less than the threshold value of 60.0% that is obtained by the level and gradient samples. The algorithm based on the dynamic clustering theory can effectively eliminate the influences of the exceptional elevation values produced by the disturbances resulted from the grazing angle, the characteristic of bottom material and environmental noises, and its real-time capability is good. Thus, the algorithm provides a foundation for the next restructuring of the micro-terrain.展开更多
文摘分析了SF6气体绝缘金属封闭开关设备(gas insulated metal enclosed switchgear and controlgear,GIS)局部放电产生的原因,结合现场应用实例,对2种GIS局部放电在线检测技术——超声波检测技术和特高频检测技术进行了应用比较,结果表明特高频检测法灵敏度高、抗电磁干扰能力强、有效测量范围大,能准确检测GIS内部绝缘缺陷,适用于长期在线监测;超声波检测法定位准确,可作为特高频检测法的补充和辅助手段;2种方法综合利用可有效发现绝缘缺陷并实现准确定位。
基金Project(50474052) supported by the National Natural Foundation of China
文摘An algorithm was proposed to fast recognize three types of underwater micro-terrain, i.e. the level, the gradient and the uneven. With pendulum single beam bathymeter, the hard level concrete floor, the random uneven floor and the gradient wood panel (8-) were ultrasonically detected 20 times, respectively. The results show that the algorithm is right from fact that the first clustering values of the uneven are all less than the threshold value of 60.0% that is obtained by the level and gradient samples. The algorithm based on the dynamic clustering theory can effectively eliminate the influences of the exceptional elevation values produced by the disturbances resulted from the grazing angle, the characteristic of bottom material and environmental noises, and its real-time capability is good. Thus, the algorithm provides a foundation for the next restructuring of the micro-terrain.
