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检索条件"机构=Shaanxi Key Lab of Complex System Control and Intelligent Information Processing"
273 条 记 录,以下是171-180 订阅
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Fast S-transform for fault line selection in distribution network system  13
Fast S-transform for fault line selection in distribution ne...
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13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
作者: Shang-Bin, Jiao Yun-Peng, Yang Yan-Jin, Shi Wen-Wen, Shi Jing-Wen, Guo Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an710048 China
The current of the distribution networks under 66kV is widely operating in small current grounding mode. The problem of extracting the fault feature in each line would be quite difficult due to the short duration of t... 详细信息
来源: 评论
A New Intrusion Detection Method Based on Adaptive Feature Extraction
A New Intrusion Detection Method Based on Adaptive Feature E...
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第三十八届中国控制会议
作者: Ya-Li Wu Guo-Ting Li Yu-Long Fu Xiao-Peng Wang School of Automation and Information Engineering Xi'an University of Technology Shaanxi Province Key Laboratory of Complex System Control and Intelligent Information Processing
Compared with traditional machine learning, intrusion detection based on deep learning has the advantage of feature extraction. Auto-encoders, owing to having good feature extraction and dimensionality reduction abili... 详细信息
来源: 评论
Transformer Winding Deformation Diagnosis Based on Signal Distance
Transformer Winding Deformation Diagnosis Based on Signal Di...
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第30届中国过程控制会议(CPCC 2019)
作者: LiShengmin ZhaoDan HeYuanyuan WangXiaoafan School of Automation and Information Engineering Xi'an University of Technology Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing
Aiming at the problem that the correlation coefficient method cannot judge the deformation of the transformer winding when the measured frequency response curve is the same as the reference frequency response curve(fr... 详细信息
来源: 评论
Network Parameter Generation for One-Shot Object Detection
Network Parameter Generation for One-Shot Object Detection
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2019 IEEE International Conference on Unmanned systems, ICUS 2019
作者: Wang, Kang Zhao, Jiajia Wang, Yang Zhou, Shuigeng Fudan University Shanghai Key Lab of Intelligent Information Processing School of Computer Science Shanghai200433 China Beijing Electro-Mechanical Engineer Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Nanchang University School of Information Engineering 330031 China
Recent object detection models have achieved satisfactory performance by deep learning with large-scale annotated datasets. However, these models often perform poorly when the training examples are not sufficient enou... 详细信息
来源: 评论
Predicting Remaining Useful Life of Industrial Equipment Based on Multivariable Monitoring Data Analysis
Predicting Remaining Useful Life of Industrial Equipment Bas...
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2018 Chinese Automation Congress, CAC 2018
作者: Li, Xin Xie, Guo Liu, Han Wang, Wenqing Information Processing Xi 'An University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Xi'an China
Modern industrial equipment plays a vital role in the operation of large industrial systems. Accurate prediction of its remaining useful life will greatly reduce the possibility of unsafe accidents. The internal struc... 详细信息
来源: 评论
Data Based Fault Diagnosis of Hot Axle for High-Speed Train
Data Based Fault Diagnosis of Hot Axle for High-Speed Train
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2018 Chinese Automation Congress, CAC 2018
作者: Sun, Lanlan Hei, Xinhong Xie, Guo Qian, Fueai Wang, Zhuxin Liu, Ran System Control and Intelligent Information Processing University of Technology Xi'An Shaanxi Key Laboratory of Complex Xi'an China
The axle temperature is an important performance index for high-speed train axle, and many types of high-precision detection device have been developed. However, because the existing hotbox detection system works by c... 详细信息
来源: 评论
Fault-Tolerant Cooperative Motion Planning of Connected and Automated Vehicles at a Signal-Free and Lane-Free Intersection
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IFAC-PapersOnLine 2018年 第24期51卷 60-67页
作者: Li, Bai Zhang, Youmin Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China Department of Mechanical Industrial and Aerospace Engineering Concordia University Montreal Canada
Compared with a conventional intersection, a signal-free and lane-free intersection enables the vehicles to drive more flexibly, thereby to promote the throughput and to reduce congestions. This work proposes a fault-... 详细信息
来源: 评论
Point Cloud Preprocessing on 3D LiDAR data for Unmanned Surface Vehicle in Marine Environment
Point Cloud Preprocessing on 3D LiDAR data for Unmanned Surf...
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information Technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on
作者: Xianzhi Qi Wenxing Fu Pei An Bingli Wu Jie Ma National Key Laboratory of Science and Technology on Multispectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China
Point cloud preprocessing is still a challenging task in the marine environment, for it is difficult to filter out non-obstacle points while avoiding damage to the obstacle completeness. In this paper, we propose a no... 详细信息
来源: 评论
Measurement Method of the Least Mean Square Adaptive Filtering Parameters for Gas-solid Flow
Measurement Method of the Least Mean Square Adaptive Filteri...
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Chinese Automation Congress (CAC)
作者: A. Ruidong Xie B. Yingmin Yi C. Haichuan Yang Key Lab of Manufacturing Equipment of Shaanxi Province Xi’an University of Technology Xi’an China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an China
With regard to the unknown prior knowledge of signal noise in the parameter measurement of gas-solid flow, the present paper puts forward the AC signal processing method based on the least mean square (LMS) adaptive f... 详细信息
来源: 评论
A Forest Fire Detection Method Based on a Deep Learning Approach
A Forest Fire Detection Method Based on a Deep Learning Appr...
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第30届中国过程控制会议(CPCC 2019)
作者: Honggang Yu Zhentian Jiao Youmin Zhang Jing Xin Lingxia Mu Shangbin Jiao Han Liu Ding Liu Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Department of Mechanical Industrial and Aerospace Engineering Concordia University
Forest fire detection has great practical significance in actual production and ***, many current solutions are still not reliable in practice and usually affected by many *** paper presents a forest fire detection me... 详细信息
来源: 评论