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Faulty insulator diagnosis for UAV videos based on repetitiveness feature
Lin L(蔺蘭); Li BF(李冰锋); Wang L(王玲); Cong Y(丛杨); Tang YD(唐延东)
作者部门机器人学研究室
会议名称3rd International Conference on Applied Mechanics, Materials and Manufacturing, ICAMMM 2013
会议日期August 24-25, 2013
会议地点Dalian, China
会议录名称Applied Mechanics and Materials
出版者Trans Tech Publications Ltd
出版地Zurich-Durnten, Switzerland
2013
页码2536-2542
收录类别EI ; CPCI(ISTP)
EI收录号20134416915504
WOS记录号WOS:000339363800496
产权排序1
ISSN号1660-9336
ISBN号978-3-03785-888-2
关键词Mechanics
摘要In this paper, we proposed a faulty insulator diagnosis method for insulator faulty detection based on repetitiveness feature from UAV video sequence. The repetitiveness feature which describes the relationship of each structural element of insulator is employed for the insulator faulty diagnosis, and is robust to noise, camera motivation and complex backgrounds. Base on the repetition of structural element, our method can not only deal with single insulator with multi-faults, but also work on double insulator strings. The recognition results on insulator dataset and UAV video show the effectiveness of our method. © (2013) Trans Tech Publications, Switzerland.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13912
专题机器人学研究室
通讯作者Lin L(蔺蘭)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.Benxi power supply company of Liaoning electric power company, Benxi, 117000, China
3.University of Chinese Academy of Sciences, Beijing, 100049, China
4.Henan Polytechnic University, Jiaozuo, China
推荐引用方式
GB/T 7714
Lin L,Li BF,Wang L,et al. Faulty insulator diagnosis for UAV videos based on repetitiveness feature[C]. Zurich-Durnten, Switzerland:Trans Tech Publications Ltd,2013:2536-2542.
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