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《Journal of Anhui University of Technology and Science(Natural Science)》 2006-02
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Principle of multi-sensors integration and information fusion

XU De-zhang~1,HE Qu-fei~2(1.Anhui University of Technology and Science,Wuhu 241000,China;2.Anhui Xinke New Materials Co.Ltd,Wuhu 241000,China)  
In modern measurement and control systems,multi physical parameters of operating environment can be inspected.Because single sensor is unable to provide entire environmental information,multi sensors have to be selected.Based on historical backgrounds,meanings and characteristics of multi sensors integration and information fusion,the paper describes the main constituent.The key contents include topological structures and fusion models.
【Fund】: 安徽省教育厅科研基金资助项目(2005kj060)
【CateGory Index】: TP202
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5 TANG Xue-zhi,LU Yang,CHEN Tao(The 718 Research Institute of CSIC,Handan 056027,China);The research of submarine environment multi-sensor information fusion[J];Ship Science and Technology;2008-S2
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4 Li Xiaoxuan(Nanjing Research Institute of Electronics Technology);The Low Noise Chopper Amplifierfor Sensors Weak Signal Amplification[J];Journal of Transcluction Technology;1994-03
5 SUN Guang-qing1, WANG Lei21.Dept.of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China;2.Chinese-German College, Tongji University, Shanghai 200092,China;Predicting Concentration of Gas Mixtures by RBF Neural Networks[J];Journal of Transcluction Technology;2004-02
6 TU Guo-ping, DENG Qun-zhao (Dept.of Math., Nanchang University, Nanchang 330047, China);A statistical method for the data fusion of multisensor[J];Journal of Transducer Technology;2001-03
7 ZHAO Ben gang 1, CHEN Li hua 1, BAI Xu dong 2, ZHANG Gang 3, QUAN Bao fu 1 (1.Dept. of Electronic, jilin University,Changchun 130023, China; 2.Dept. of Phys.,jilin University, Changchun 130023,China; 3.Dept. of Chem.,jilin University, Changchu;Fabrication of quartz resonance CO_2 gas sensor[J];Journal of Transducer Technology;2001-09
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【Secondary References】
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1 ZHU Xiaodong WANG Jie(School of Electric Engineering,Zhengzhou University,Zhengzhou 450001,China);A predictive model for oil-drilling parameters based on the hierarchical fuzzy system[J];Acta Petrolei Sinica;2010-05
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