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《CIESC Journal》 2013-12
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Combination model soft sensor based on Gaussian process and Bayesian committee machine

LEI Yu;YANG Huizhong;Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University;  
In order to improve the estimation accuracy of a soft sensor in the process of chemical production,a combination model for soft sensor is presented based on Gaussian process and Bayesian committee machine.The original data are classified into several subclasses,and then,the sub-models are built by Gaussian process regression.In order to get a global probabilistic prediction,Bayesian committee machine is used to combine the outputs of the sub-estimators.Finally,the algorithm is applied to a soft sensor model for a production plant of bisphenol A.Simulation results show that the integration algorithm can make full use of sample information in the actual production,and the estimated accuracy of model is improved,and the generalization ability is better,comparing to the traditional switch or a weighted combination of multiple model.
【Fund】: 国家自然科学基金项目(61273070);; 江苏高校优势学科建设工程资助项目~~
【CateGory Index】: TP274
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【Citations】
Chinese Journal Full-text Database 9 Hits
1 Li Yaqin Yang Huizhong (Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education,Jiangnan University,Wuxi 214122,China);Ensemble modeling method based on Bagging algorithm and Gaussian process[J];Journal of Southeast University(Natural Science Edition);2011-S1
2 LUO Jianxu and SHAO Huihe (Institute of Automation,Shanghai Jiaotong University,Shanghai 200030,China;DEVELOPING DYNAMIC SOFT SENSORS USING MULTIPLE NEURAL NETWORKS[J];Journal of Chemical Industry and Engineering(China);2003-12
3 WANG Huazhong(Research Institute of Automation,East China University of Science and Technology,Shanghai 200237,China);Gaussian process and its application to soft-sensor modeling[J];Journal of Chemical Industry and Engineering(China);2007-11
4 Lü Ye1,DENG Yujun1,YANG Huizhong1,2(1Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education),Jiangnan University,Wuxi 214122,Jiangsu,China;2Shanghai Key Laboratory of Power Station Automation Technology,Shanghai 200072,China);Compositional support vector machine model based on feature extraction of categories[J];CIESC Journal;2011-08
5 WEI Jing,LI Hengchao,FAN Pingzhi Key Lab of Information Coding & Transmission,Southwest Jiaotong University,Chengdu 610031,China;Combined prediction with optimal weight for wireless communication trafficbased on SOM[J];Computer Engineering and Applications;2011-14
6 LIU Qing-chao1,ZHU Yu-quan1,CHEN Geng2(1.School of Computer Science and Telecommunications Engineering,Jiangsu University,Zhenjiang 212013,China 2.School of Information Science,Nanjing Audit University,Nanjing 211815,China);Multiple Classifiers Weighted Integration Method Based on Particle Swarm Optimization Expanded[J];Computer Engineering;2012-07
7 ZHANG Wenqing,FU Yujia,YANG Huizhong(Key Laboratory of Advanced Process Control for Light Industry,Ministry of Education, Jiangnan University,Wuxi 214122,Jiangsu,China);Multi-model soft-sensor modeling based on improved clustering and weighted bagging[J];CIESC Journal;2012-09
8 XIONG Zhi-hua, ZHANG Ji-cheng, SHAO Hui-he (1Institute of Automation, Shanghai Jiao Tong University, Shanghai 200030, China; 2College of Information Science & Technology, Donghua University, Shanghai 200051, China);GP-based Soft Sensor Modeling[J];Acta Simulata Systematica Sinica;2005-04
9 XU Chong,LIU Bao-guo,LIU Kai-yun,GUO Jia-qi(School of Civil Engineering,Beijing Jiaotong University,Beijing 100044,China);Intelligent analysis model of landslide displacement time series based on coupling PSO-GPR[J];Rock and Soil Mechanics;2011-06
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Zhang Yan,Su Guoshao,Yan Liubin(College of Civil and Architecture Engineering,Guangxi University,Nanning 530004,China);Method of Identifying Rockburst Grades Based on Gaussian Process Machine Learning[J];Chinese Journal of Underground Space and Engineering;2011-02
2 WEN Shi-guang1,WANG Fei1,2,WU Cheng-dong1,ZHANG Yu-zhong1(1.School of Information Science & Engineering,Northeastern University,Shenyang 110819,China;2.State Key Laboratory of Robotics and Systems(HIT),Harbin 150001,China.);Using a Gaussian Process to Improve and Utilize Empirical Mode Decomposition[J];Journal of Northeastern University(Natural Science);2011-04
3 Li Yaqin Yang Huizhong (Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education,Jiangnan University,Wuxi 214122,China);Ensemble modeling method based on Bagging algorithm and Gaussian process[J];Journal of Southeast University(Natural Science Edition);2011-S1
4 SU Guoshao1,2(1.State Key Laboratory of Geomechanics and Geotechnical Engineering,Wuhan 430071,China;2.College of Civil and Architecture Engineering,Guangxi University,Nanning 530004,China);Forecast of rock burst intensity based on Gaussian process machine learning[J];Journal of Liaoning Technical University(Natural Science);2009-05
5 LU Zhao-wei(Guangzhou Yuyang Power Technology Development Co.,Ltd.,Guangzhou,Guangdong 510080,China);Development and Present Status of Condenser Dirt Monitoring[J];Guangdong Electric Power;2011-06
6 SU Guo-shao,ZHANG Yan,YAN Liu-bin(a.School of Civil Engineering;b.Key Laboratory of Disaster Prevention and Structural Safety,Guangxi University,Nanning 530004,China);Deformation Forecasting for Tunnel Rock by Gaussian Process Machine Learning Model[J];Journal of Guilin University of Technology;2010-04
7 SU Guo-shao1,2,YAN Liu-bin1,ZHANG Xiao-fei1,JIANG Quan2(1.College of Civil and Architecture Engineering,Guangxi University,Nanning 530004,China;2.Key Laboratory of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan 430071,China);Time series prediction of foundation pit displacement using Gaussian process method[J];Journal of Guangxi University(Natural Science Edition);2007-02
8 MA Yong, HUANG Dexian,JIN Yihui (Department of Automation, Tsinghua University, Beijing 100084, China);Discussion about dynamic soft-sensing modeling[J];Journal of Chemical Industry and Engineering(China);2005-08
9 CHEN Guochu,YU Jinshou (Research Institute of Automation, East China University of Sci ence and Technology, Shanghai 200237,China);Hill-climbing particle swarm optimization algorithm with variable width neighborhood and its application[J];Journal of Chemical Industry and Engineering(China);2005-10
10 E Jiaqiang1, WANG Yaonan1, MEI Chi2 (1School of Electrical and Informational Engineering, Hunan University,Changsha,410082,Hunan, China; 2School of Energy and Power Engineering, Central South University, Changsha,410083,Hunan,China);Soft-sensing model of copper liquid temperature in copper refining process and its application[J];Journal of Chemical Industry and Engineering(China);2006-01
China Proceedings of conference Full-text Database 7 Hits
1 LIU Ying-yu, SHEN Dong-ri,CHEN Yi-jun, LI Rong (College of Information and Engineering, Liaoning University of Petroleum and Chemical Technology, Fushun 113001, China.;Nonlinear Systems Dynamic Modeling Based on Modular Neural Networks[A];[C];2006
2 MAO Shuai XIONG Zhi-hua XU Yong-mao ZHUANG Ai-xia HUANG Hai-long WANG Li-qun 1.Department of Automation,Tsinghua University,Beijing 100084,China 2.China Petroleum & Chemical Corporation,Jinan Branch,Jinan 250101,China;Dynamic Soft-sensor Model of Diesel Oil Solidifying Point on a Crude Distillation Unit[A];[C];2005
3 LI Ya-qin, YANG Hui-zhong (School of Communication & Control Engineering, Jiang Nan University, Wu xi 21412, Jiangsu, China);Multi-model Modeling method Based on Affinity Propagation Clustering and Gaussian Processes[A];[C];2009
4 DU Wen-li, GUAN Zhen-qiang, QIAN Feng (Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China);Dynamic Soft Sensor Modeling Method Based on Time Series Error Compensation[A];[C];2009
5 ZHOU Gang1,YE Wei-cheng2(1.Department of Nuclear Energy Science and Engineering,Naval University of Engineering,Wuhan 430033,China;2.92330 Unit of the PLA Navy,Qingdao 266102,China);A soft sensor method for nuclear steam generator water level based on artificial neural networks[A];[C];2007
6 GUAN Zhen-qiang,DU Wen-li,QIAN Feng (Key Laboratory of Advanced Control and Optimization for Chemical Processes,Ministry of Education, East China University of Science and Technology,Shanghai 200237,China);Dynamic Soft Sensor Modeling Based on Least Square SVM and ARMA[A];[C];2009
7 Gang Li 1 , Kaixiang Peng 2 , Jie Ma 3 ,Donghua Zhou 1 1. department of Automation, TNList, Tsinghua University, Beijing 100084, P. R. China2. Key Laboratory for Advanced Control of Iron and Steel Process, School of Automation and Electrical Engineering, University of Science and Technology of Beijing, Beijing, 100083, P. R. China3. Automation College, Beijing Information Science and Technology University ,Beijing 100192, P.R. China;A new usage of reconstruction based contributions for quality-related fault diagnosis[A];[C];2013
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Tang Yanjuan Zhang Xiaogang (Beijing P&T Consulting & Design Institute Co.,Ltd., Beijing 100035);Analytical Methods of Operation Forecast and Erlang in Ten Wireless Networks[J];Telecom Engineering Techniques and Standardization;2005-03
2 SU Guo-shao1,2,YAN Liu-bin1,ZHANG Xiao-fei1,JIANG Quan2(1.College of Civil and Architecture Engineering,Guangxi University,Nanning 530004,China;2.Key Laboratory of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan 430071,China);Time series prediction of foundation pit displacement using Gaussian process method[J];Journal of Guangxi University(Natural Science Edition);2007-02
3 MA Yong, HUANG Dexian,JIN Yihui (Department of Automation, Tsinghua University, Beijing 100084, China);Discussion about dynamic soft-sensing modeling[J];Journal of Chemical Industry and Engineering(China);2005-08
4 TAO Shaohui1,2, CHEN Dezhao1, HU Wangming1(1Department of Chemical and Biochemical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China; 2Department of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, Shandong,China );Gradient algorithm for selecting hyper parameters of LSSVM in process modeling[J];Journal of Chemical Industry and Engineering(China);2007-06
5 WANG Huazhong(Research Institute of Automation,East China University of Science and Technology,Shanghai 200237,China);Gaussian process and its application to soft-sensor modeling[J];Journal of Chemical Industry and Engineering(China);2007-11
6 LIN Weiguo1,CHEN Ping1,SUN Jian2(1School of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China;2Huangshan College,Huangshan 245021,Anhui,China);Features extraction of pipeline leak signal with operational conditions adaptability[J];Journal of Chemical Industry and Engineering(China);2008-07
7 ZHOU Lifang1,ZHANG Henan2(1Institute of Industrial Control,2Institute of Advanced Process Control,Department of Control Science and Engineering,Zhejiang University,Hangzhou 310027,Zhejiang,China);Research on multi-mode MPC based on clustering multi-modeling[J];Journal of Chemical Industry and Engineering(China);2008-10
8 Lü Ye1,DENG Yujun1,YANG Huizhong1,2(1Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education),Jiangnan University,Wuxi 214122,Jiangsu,China;2Shanghai Key Laboratory of Power Station Automation Technology,Shanghai 200072,China);Compositional support vector machine model based on feature extraction of categories[J];CIESC Journal;2011-08
9 WANG Yang-ke,FEI Shu-min,ZHAI Jun-yong(Key Laboratory of Measurement and Control of Complex Systems of Engineering,Ministry of Education,Southeast University,Nanjing 210096,China);Clustering-Based Multi-model Soft-sensing Modeling and its Application[J];Control and Instruments in Chemical Industry;2010-01
10 Yang Ping Chen Wu(College of Electric Power,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China);Traffic Forecasting of Mobile Telephone Based on Adaptive Optimized Fuzzy Logical System[J];Journal of South China University of Technology(Natural Science Edition);2005-12
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