MULTI-SENSOR

作品数:106被引量:245H指数:8
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相关领域:自动化与计算机技术更多>>
相关作者:王信义杨大勇徐春广邢济收宫淑丽更多>>
相关机构:北京航空航天大学北京理工大学江苏大学中国农业大学更多>>
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相关基金:国家自然科学基金国家教育部博士点基金中国航空科学基金中国博士后科学基金更多>>
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Force and impulse multi-sensor based on flexible gate dielectric field effect transistor
《International Journal of Minerals,Metallurgy and Materials》2025年第1期214-220,共7页Chao Tan Junling Lü Chunchi Zhang Dong Liang Lei Yang Zegao Wang 
financially supported by the National Natural Science Foundation of China(Nos.52272160,U2330112,and 52002254);Sichuan Science and Technology Foundation(Nos.2020YJ0262,2021YFH0127,2022YFH0083,2022YFSY0045,and 2023YFSY0002);the Chunhui Plan of Ministry of Education,Fundamental Research Funds for the Central Universities,China(No.YJ201893);the Foundation of Key Laboratory of Lidar and Device,Sichuan Province,China(No.LLD2023-006)。
Nowadays,force sensors play an important role in industrial production,electronic information,medical health,and many other fields.Two-dimensional material-based filed effect transistor(2D-FET)sensors are competitive ...
关键词:flexible gate dielectric transistor force sensor impulse sensor force sensor array 
Wind Turbine Gearbox Fault Diagnosis Based on Multi-sensor Signals Fusion
《Protection and Control of Modern Power Systems》2024年第4期96-109,共14页Yao Zhao Ziyu Song Dongdong Li Rongrong Qian Shunfu Lin 
supported by the Shanghai Rising-Star Program(No.21QC1400200);the Natural Science Foundation of Shanghai(No.21ZR1425400);the National Natural Science Foundation of China(No.52377111).
This paper proposes a novel fault diagnosis method by fusing the information from multi-sensor signals to improve the reliability of the conventional vibration-based wind turbine drivetrain gearbox fault diagnosis met...
关键词:Wind turbine gearbox fault diagnosis multiple scenarios deep learning stacked denoising au-to-encoder cycle reservoir with regular jumps feature fusion network 
Aggregation‑Value‑Based Active Sampling Method for Multi‑sensor Freeform Surface Measurement and Reconstruction
《Transactions of Nanjing University of Aeronautics and Astronautics》2024年第6期700-709,共10页CHEN Gengxiang LI Yingguang MEHDI-SOUZANI Charyar LIU Xu 
supported by the Na‑tional Key R&D Program of China(No.2022YFB3402600);the National Science Fund for Distinguished Young Scholars(No.51925505);the General Program of National Natural Science Foundation of China(No.52275491);Joint Funds of the National Natural Science Foundation of China(No.U21B2081).
Freeform surface measurement is a key basic technology for product quality control and reverse engineering in aerospace field.Surface measurement technology based on multi-sensor fusion such as laser scanner and conta...
关键词:multi-sensor fusion multi-sensor measurement data sampling active learning Shapley value intelligent sampling 
Design and fabrication of metal spherical conformal thin film multisensor for high-temperature environment被引量:1
《Chinese Journal of Aeronautics》2024年第11期535-547,共13页Lida XU Xiong ZHOU Yong HUANG Yusen WANG Chenhe SHAO Yuelong LI Lingyun WANG Qingtao YANG Daoheng SUN Qinnan CHEN 
supported by the National Key Research and Development Program of China(No.2022YFB3203900)。
Conformal thin-film sensors enable precise monitoring of the operating conditions of components in extreme environments.However,the development of these sensors encounters major challenges,especially in uniformly appl...
关键词:Conformal thin-film sensor Metallic spherical surfaces Multi-sensor perception Harsh environments Additive manufacturing 
Deep Weighted Fusion Learning(DWFL)-based multi-sensor fusion model for accurate building occupancy detection
《Energy and AI》2024年第3期542-554,共13页MdRumman Rafi Fei Hu Shuhui Li Aijun Song Xingli Zhang Zheng O’Neill 
supported by the Advanced Research Projects Agency - Energy (ARPA-E), USA under award number DE-AR0001316.
With the advancement of artificial intelligence,the dominance of deep learning(DL)models over ordinary machine learning(ML)algorithms has become a reality in recent years due to its capability of handling complex patt...
关键词:Building energy saving Convolutional neural network(CNN) Occupancy detection Deep learning Multi-sensor fusion Wavelet transform 
Research on Optimal Preload Method of Controllable Rolling Bearing Based on Multisensor Fusion
《Computer Modeling in Engineering & Sciences》2024年第6期3329-3352,共24页Kuosheng Jiang Chengrui Han Yasheng Chang 
supported by:The Key Project of National Natural Science Foundation of China(U21A20125);The Open Project of State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines(SKLMRDPC21KF03);The National Key Research and Development Program of China(2020YFB1314203,2020YFB1314103);The Open Project of Key Laboratory of Conveyance and Equipment(KLCE2021-05);The Science and Technology Research Project of Jiangxi Provincial Department of Education(GJJ210639);The Supply and Demand Linking Employment Education Project of the Ministry of Education(20220100621);The Open Project of State Key Laboratory for Manufacturing Systems Engineering(sklms2023009);The Suzhou Basic Research Project(SJC2023003).
Angular contact ball bearings have been widely used in machine tool spindles,and the bearing preload plays an important role in the performance of the spindle.In order to solve the problems of the traditional optimal ...
关键词:MULTI-SENSOR information fusion neural network preload force 
Side Information-Based Stealthy False Data Injection Attacks Against Multi-Sensor Remote Estimation
《IEEE/CAA Journal of Automatica Sinica》2024年第4期1054-1056,共3页Haibin Guo Zhong-Hua Pang Chao Li 
the National Natural Science Foundation of China(62173002);the Beijing Natural Science Foundation(4222045)。
Dear Editor,This letter investigates a novel stealthy false data injection(FDI)attack scheme based on side information to deteriorate the multi-sensor estimation performance of cyber-physical systems(CPSs).Compared wi...
关键词:ESTIMATION SCHEME system 
Review of the field environmental sensing methods based on multi-sensor information fusion technology被引量:1
《International Journal of Agricultural and Biological Engineering》2024年第2期1-13,共13页Yuanyuan Zhang Bin Zhang Cheng Shen Haolu Liu Jicheng Huang Kunpeng Tian Zhong Tang 
supported by the National Natural Science Foundation of China(Grant No.52272438);the Jiangsu Agricultural Science and Technology Innovation[Grant No.CX(21)3149];the Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences(Grant No.Yueshengjihua-2206);the Jiangsu Province and Education Ministry Co-sponsored Synergistic Innovation Center of Modern Agricultural Equipment(Grant No.XTCX2007).
Field environmental sensing can acquire real-time environmental information,which will be applied to field operation,through the fusion of multiple sensors.Multi-sensor fusion refers to the fusion of information obtai...
关键词:MULTI-SENSOR information fusion field environmental sensing fusion methods smart agriculture 
A multi-sensor appiproach to calving detection
《Information Processing in Agriculture》2024年第1期45-64,共20页Anita Z.Chang David L.Swain Mark G.Trotter 
the Central Queensland University Animal Ethics Committee(application ID:0000021144).
The advent of remote livestock monitoring systems provides numerous possibilities for improving on-farm productivity,efficiency,and welfare.One potential application for these systems is for the detection of calving e...
关键词:ACCELEROMETER GNSS GPS RUMINATION Sensor WOW 
Multi-sensor multispectral reconstruction framework based on projection and reconstruction
《Science China(Information Sciences)》2024年第3期242-258,共17页Tianshuai LI Tianzhu LIU Xian LI Yanfeng GU Yukun WANG Yushi CHEN 
supported in part by National Science Fund for Distinguished Young Scholars (Grant No.62025107);National Natural Science Foundation of Key International Cooperation (Grant No.61720106002)。
The scarcity and low spatial resolution of hyperspectral images(HSIs)have become a major problem limiting the application of the images.In recent years,spectral reconstruction(SR)has been applied to convert multispect...
关键词:spectral reconstruction spectral superresolution hyperspectral image multispectral image neural networks MULTI-SENSOR 
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