Faulty insulator diagnosis for UAV videos based on repetitiveness feature
文献类型:会议论文
作者 | Lin L(蔺蘭); Li BF(李冰锋)![]() ![]() ![]() |
出版日期 | 2013 |
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 |
关键词 | Mechanics |
页码 | 2536-2542 |
中文摘要 | 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. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议录 | Applied Mechanics and Materials
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会议录出版者 | Trans Tech Publications Ltd |
会议录出版地 | Zurich-Durnten, Switzerland |
语种 | 英语 |
ISSN号 | 1660-9336 |
ISBN号 | 978-3-03785-888-2 |
WOS记录号 | WOS:000339363800496 |
源URL | [http://ir.sia.cn/handle/173321/13912] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
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]. 见:3rd International Conference on Applied Mechanics, Materials and Manufacturing, ICAMMM 2013. Dalian, China. August 24-25, 2013. |
入库方式: OAI收割
来源:沈阳自动化研究所
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