COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION | |
Chen, Hongkai; Zhao, Xiaoguang; Tan, Min; Sun, Shiying | |
发表期刊 | INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION |
2017 | |
卷号 | 32期号:1页码:1-12 |
文章类型 | Article |
摘要 | State recognition in disconnecting switches is important during substation automation. Here, an effective computer vision-based automatic detection and state recognition method for disconnecting switches is proposed. Taking advantage of some important prior knowledge about a disconnecting switch, the method is designed using two important features of the fixed-contact facet of such disconnecting switches. First, the Histograms of Oriented Gradients (HOG) of the fixed-contact are used to design a Linear Discriminant Analysis (LDA) target detector to position the disconnecting switches and distinguish their loci against a usual cluttered background. Then a discriminative Norm Gradient Field (NGF) feature is used to train the Support Vector Machine (SVM) state classifier to discriminate disconnecting switch states. Finally, experimental results, compared with other methods, demonstrate that the proposed method is effective and achieves a low miss rate while delivering high performance in both precision and recall rate. In addition, the adopted approach is efficient and has the potential to work in practical substation automation scenarios. |
关键词 | Computer Vision Substation Automation Disconnecting Switch State Recognition Histograms Of Oriented Gradients Norm Gradient Field |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.2316/Journal.206.2017.1.206-4624 |
关键词[WOS] | IDENTIFICATION |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61271432 ; State Grid Science and Technology Project: the Research of Multimedia and Streaming Media Based on Machine Learning ; 61273337) |
WOS研究方向 | Automation & Control Systems ; Robotics |
WOS类目 | Automation & Control Systems ; Robotics |
WOS记录号 | WOS:000397167200001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14399 |
专题 | 复杂系统管理与控制国家重点实验室_先进机器人 |
作者单位 | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Chen, Hongkai,Zhao, Xiaoguang,Tan, Min,et al. COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION[J]. INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION,2017,32(1):1-12. |
APA | Chen, Hongkai,Zhao, Xiaoguang,Tan, Min,&Sun, Shiying.(2017).COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION.INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION,32(1),1-12. |
MLA | Chen, Hongkai,et al."COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION".INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION 32.1(2017):1-12. |
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