Dr. YUAN XU

Office Address

15# BeiSanHuan East Road, ChaoYang District, Beijing, 100029, PR CHINA

Mailing Address

Mail Box 4, No. 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, P.R. China

Email

xuyuan@mail.buct.edu.cn

Phone

+86-13811861765


Research Interests

1.System modeling and optimization
2.Safety evaluation and emergency rescue
3.Process control and simulation
4.Fault detection and diagnosis
5.Alarm design and optimization

Working/Education Experience

09/2001-07/2005 B.Eng., College of Information Science & Technology, Beijing University of Chemical Technology (BUCT)
Major: Automation
09/2005-06/2010 Ph.D., College of Information Science & Technology, BUCT Supervisor: Prof. Qunxiong ZHU
Director of Engineering Research Center of Intelligent PSE, Ministry of Education in China Dean of College of Information Science & Technology, BUCT
Research Activity: Process modeling and operation optimization, Fault diagnosis and safety monitoring
07/2009-05/2010 Visiting student, University of California, Santa Barbara, U.S.
Supervisor: Prof. Francis J. Doyle III IEEE Fellow, IFAC Fellow
Research Activity: Intelligent Modeling and Operation Optimization of Granulation Process (Sponsored by U.S. IFPRI)

Teaching Courses

Postgraduate education——Course name: Safety System Engineering
Undergraduate education——Course name: Introduction to System Engineering

Projects

01/2017-12/2019 The 1st Young Talent Lifts Plan of Beijing Association for Science and Technology (Principal Investigator) ——Urban public safety assessment and collaborative control
01/2016-12/2019 National Natural Science Foundation of China (Principal Investigator) ——Research on key technologies of alarm identification analysis and dependence root-cause for complex industry process
01/2015-12/2018 National Natural Science Foundation of China (Principal Investigator) ——Research on key technologies of service partitioning, recommendation and management oriented to business process
01/2014-12/2016 Beijing Higher Education Young Elite Teacher Project (Principal Investigator) ——Research on disaster analysis and control system based on swarm intelligence theory
01/2015-12/2016 Open Fund of the State Key Laboratory of Software Development Environment (Principal Investigator) ——Research on techniques of temporal-spatial context based cross multimedia multimodal semantic feature fusion and data vitalization
01/2014-12/2015 Fundamental Research Funds for Central Universities (Project Principal) ——Research of disaster accident prediction and three-dimensional simulation based on extension theory
01/2010-12/2010 Fundamental Research Funds for Central Universities (Principal Investigator) ——Research of extension safety engineering method for complex process industry
01/2016-12/2016 International exchanges and cooperation project (Principal Investigator) ——Technologies of data recognition and data vitalization
01/2015-12/2015 International exchanges and cooperation project (Principal Investigator) ——System signal and image processing
01/2014-12/2014 International exchanges and cooperation project (Principal Investigator) ——Research and application of big data technologies
01/2011-12/2013 National Natural Science Foundation of China (Project Participant) ——Researches on hierarchical neural network structure for complex process system
01/2008-12/2010 National Natural Science Foundation of China (Project Participant) ——Extension engineering method for optimization operation of energy saving and consumption lowering of process industry

Publications

Journal Papers
[1] Yuan Xu, Sheng-Qi Shen, Yan-Lin He, Qun-Xiong Zhu. A novel hybrid method integrating ICA-PCA with relevant vector machine for multivariate process monitoring. IEEE Transactions on Control Systems Technology, 2018, 99, 1-8
[2] Yan-Lin He, Ping-Jiang Wang, Ming-Qing Zhang, Qun-Xiong Zhu*, Yuan Xu*. A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry. Energy, 2018,?147: 418-427
[3] Yuan Xu, Mingqing Zhang, Qunxiong Zhu*, Yanlin He*. An improved multi-kernel RVM integrated with CEEMD for high-quality intervals prediction construction and its intelligent modeling application. Chemometrics?and?Intelligent Laboratory Systems, 2017, 171: 151-160
[4] Zi-Qian Zhou, Qun-Xiong Zhu, Yuan Xu*.Time series extended finite-state machine-based relevance vector machine multi-fault prediction. Chemical Engineering & Technology, 2017, 40 (4): 639-647
[5] Yongming Han, Qunxiong Zhu, ZhiqiangGeng, Yuan Xu*. Energy and carbon emissions analysis and prediction of complex petrochemical systems based on an improved extreme learning machine integrated interpretative structural model. Applied Thermal Engineering, 2017, 115: 280-291
[6]? Han Liu, Gao Huihui, Xu Yuan*, Zhu Qunxiong*. Combining FAP, MAP and correlation analysis for multivariatealarm thresholds optimization in industrial process. Journal of Loss Prevention in the Process Industries, 2016, 40: 471-478
[7] He, Yan-Lin, Xu, Yuan,?Geng, Zhi-Qiang,?Zhu, Qun-Xiong*.?Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables.?ISA Transactions, 2016, 61: 155-166
[8] XU Yuan, YE Liangliang, ZHU Qunxiong*. A new DROS extreme learning machine with differential vector KPCA approach for real-time fault recognition of nonlinear processes. Journal of Dynamic Systems. Measurement and Control, 2015. 137(5): 1101-1110
[9] XU Yuan, ZHOU Ziqian, ZHU Qunxiong*. A new feedback DE-ELM with time delay-based EFSM approach for fault prediction of non-linear process. The Canadian Journal of Chemical Engineering, 2015, 93: 1603-1612
[10] Y.L. He, ?Z.Q. Geng, Y. Xu, Q.X. Zhu*. A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement. ISA transactions, 2015, 2015, 58: 533-542.
[11] XU Yuan, Chen Yanjing, ZHU Qunxiong*. A new extension sample classification-based extreme learning machine ensemble method for process fault diagnosis. Chemical Engineering & Technology, 2014, 37 (6): 1-9
[12] Yanlin HE, Zhiqiang Geng, Yuan XU, Qunxiong ZHU*. A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise. Neurocomputing, 2014, 128: 407-414
Conference Papers
[1] Xu Yuan, Zhou Ziqian, Geng Zhiqiang, Wang Yanqing, He Yanlin*, Zhu Qunxiong*. A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes. The 2017 Asian Control Conference, Gold Coast, Australia, 2017
[2] Zhu Q X, Meng Q Q, Xu Y, He Y L. Research and application of KICA-AROMF based fault diagnosis. 2017 6th International Symposium on Advanced Control of Industrial Processes, 2017: 215-220
[3] Peng Di, Yuan Xu, Zhu Qunxiong*. Soft-sensing in complex chemical process based on a sampled clustering extreme learning machine model, 2015?IFAC Symposium on Advanced Control of Chemical Processes, Whistler, Canada, 2015
[4] Qunxiong ZHU, Tingting TAO, Yuan XU*. A new flowchart-based device monitoring and management system. The 25th Chinese Control and Decision Conference, Guiyang, China, 2013
[5] Qunxiong ZHU, Zhicong CAI, Yanqing WANG, Yuan XU*. A new approach of data conversion on VRGIS platform and its chemistry application. 2012 IASTED International Conference on Artificial Intelligence and Soft Computing, Napoli, Italy, 2012
[6] Xiaoyan?ZHENG, Yuan?XU, Qunxiong?ZHU*, Siwei PENG. Data attributes decomposition-based hierarchical neural network. 2011 IEEE International Conference on Intelligent Computing and Intelligent Systems, 343-347, Xiamen, China, 2011
[7] Yuan XU, Qunxiong ZHU*. Multi layer moving-window hierarchical neural network for modeling of high-density polyethylene cascade reaction process. The 11th International Conference on Control, Automation, Robotics and Vision, 1684-1687, Singapore, 2010
[8] Yang YANG, Yuan XU, Qunxiong ZHU*. A neural network ensemble method with new definition of diversity based on output error curve. 2011 IEEE International Conference on Intelligent Computing and Integrated Systems, 587-590, Guilin, China, 2010