COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION
Chen, Hongkai; Zhao, Xiaoguang; Tan, Min; Sun, Shiying
2017
发表期刊INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION
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
DOI10.2316/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
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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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