千赢国/qy88千嬴国际官网-手机版

师资队伍
教师队伍
杨帆

副教授

校研究生招生办公室主任

检测与电子技术研究所

电话: 010-62795075 Fax: 010-62786911
地点:北京千赢国系


教育背景


1998年8月至2002年7月 在千赢国系自动化专业学习,获工学学士学位

2002年8月至2008年7月 在千赢国系控制科学与工程专业学习,获工学博士学位


工作履历


2008年7月至2010年6月 清华大学动力机械及工程热物理博士后流动站 博士后、助理研究员

2009年2月至2011年7月 加拿大Alberta大学化学与材料工程系 博士后研究员

2011年8月至2013年11月,千赢国系 讲师

2013年12月至今,千赢国系,副教授/副研究员


学术兼职


中国化工学会化工自动化及仪表专业委员会委员

中国系统仿真学会智能物联系统建模与仿真专业委员会委员

中国仪器仪表学会青年工作委员会委员

中国通讯工业协会智能制造专家委员会首席专家

中国航天科技集团有限集团第五研究院总体部科技委专业技术委员会委员

美国化学工程师学会(AIChE)高级会员

Advances in Robotics & Automation》编委

《自动化学报》、《控制理论与应用》、《中国化学工程学报》、《Automatica》、《IEEE Transactions on Control Systems Technology》、《Journal of Process Control》、《Control Engineering Practice》、《IEEE Transactions on Automation Science and Engineering》、《Computers and Chemical Engineering》等期刊审稿人

Control Engineering Practice》、《Entropy》专刊客座编辑


社会兼职


中国学位与研究生教育学会人才选拔与评价委员会委员

北京高教学会研究生教育研究会招生专题组副组长



研究领域


[1] 大规模复杂系统的拓扑建模、故障诊断与健康管理

[2] 工业系统智能报警监控

[3] 系统辨识理论及应用

[4] 工业监控的云实现


研究概况


[1] 基于时间序列的因果推断及其在故障溯源中的应用 国家自然科学基金面上项目(负责人) 20191月至202212

[2] 不确定条件下传质过程的预测建模 国家自然科学基金与俄罗斯基础研究基金会合作交流项目(中方负责人) 20211月至202212

[3] 复杂制造环境下的协同控制与决策理论方法 科技创新2030—“新一代人工智能重大项目(骨干成员) 20201月至202212

[4] 智能抓捕训练深度学习算法研究 国防科技创新特区项目(负责人) 201811月至201911

[5] 虚拟化环境告警关联及根因分析 中兴通讯股份有限集团委托项目(负责人) 20179月至20189

[6]清华大学与Mitsubishi Heavy Industry, Ltd.国际合作项目(负责人) 20173月至20174

[7] 能源系统运行过程中异常状况的监控与分析 清华大学自主科研计划国际合作专项(负责人) 20171月至201712

[8] 基于知识自动化的控制系统性能监测、故障诊断、智能报警和自动维护关键技术研究 清华信息科学与技术国家实验室(筹)面上研究项目(骨干成员) 20171月至201712

[9] “基于系统辨识方法的发电量优化效果评估程序 新疆金风科技股份有限集团科技开发项目(负责人) 20166月至20176

[10] 清华大学与Siemens国际合作项目(负责人) 20157月至20166

[11] 面向工业大系统安全高效运行的报警设计与消除方法及应用研究 国家自然科学基金重点项目(合作单位负责人) 20151月至201912

[12] 清华大学与ABB的国际科技合作项目(负责人) 20141月至201412

[13] 基于大数据解析的流程工业综合自动化技术升级 清华信息科学与技术国家实验室(筹)面上研究项目(副组长) 20141月至201412

[14] 多变量大系统的因果拓扑辨识和异常溯源 清华大学自主科研计划(负责人) 20141月至201612

[15] 面向氯碱化工的节能环保与安全管控MES开发与应用 国家863计划课题(骨干成员) 20131月至201512

[16] 生产过程异常工况管理和辅助决策支持 清华信息科学与技术国家实验室(筹)学科交叉基金(负责人) 20121月至201312

[17] 清华大学与ExxonMobil Research and Engineering Company的国际科技合作项目(负责人) 20121月至20134

[18] 基于 SDG 的大规模复杂系统半定量故障诊断研究 国家自然科学基金青年项目(负责人) 20101月至201212

[19] Development of an advanced technology for alarm analysis and design 加拿大自然科学与工程委员会战略项目(骨干成员) 200910月至20129

[20] 基于 SDG 描述的大型复杂系统模型动态特性与故障传播分析(负责人) 中国博士后科学基金项目 200812月至20106



奖励与荣誉


2019年中国自动化学会科技进步奖一等奖

2019年张钟俊院士优秀论文奖

2019年中国仪器仪表学会青年学术会议优秀论文奖

2019年中国智能控制与自动化装备学术会议优秀论文

2019年获得清华大学教学成果奖一等奖

2019年全国自动化教育学术年会优秀论文

20191st International Conference on Industrial Artificial Intelligence Best Paper Award

2016年清华大学研究生院工作创新奖一等奖

2016年清华大学教学成果奖一等奖、二等奖

2015年中国仪器仪表学会第十七届青年学术会议优秀论文

2015年度中国化工学会会刊优秀审稿人

2015年度清华大学宣传工作先进个人

2014年清华大学教学成果奖一等奖

2014年度千赢国系先进工作者

2013年清华大学SRT计划优秀指导教师二等奖

2013年清华大学优秀党建与思想政治工作者

2013年首都大学生暑期社会实践先进工作者

2012年清华大学教学成果奖二等奖

2012年清华大学林枫辅导员奖

2008年清华大学“优秀博士毕业生”

2006年IEEE Control Systems Society (Beijing Chapter)颁发的“青年优秀论文奖”

2002年清华大学“优秀毕业生”


学术成果


专著及章节

[1] ISERMANN Rolf, MUNCHHOF Marco. 动态系统辨识——导论与应用. 杨帆, 耿立辉, 倪博溢, , 北京: 机械工业出版社, 2016

[2] YANG Fan, DUAN Ping, SHAH Sirish L, CHEN Tongwen. Capturing Connectivity and Causality in Complex Industrial Processes, Springer, 2014

[3] YANG Fan, XIAO Deyun, SHAH Sirish L. Qualitative fault detection and hazard analysis based on signed directed graphs for large-scale complex systems // ZHANG Wei (ed.). Fault Detection, INTECH, March 2010: 15-50


期刊论文(部分)

[1] GAO Xinrui, YANG Fan, FENG Enbo. A process fault diagnosis method using multi-time scale dynamic feature extraction based on convolutional neural network. Canadian Journal of Chemical Engineering, 2020, 98(6): 1280-1292

[2] CAO Liang, YU Feng, YANG Fan, CAO Yankai, GOPALUNI Bhushan. Data-driven dynamic inferential sensors based on causality analysis. Control Engineering Practice, 2020, 104, 104626

[3] GUO Cen, YANG Fan, HUANG Dexian, HU Wenkai. Deep learning technique for process fault detection and diagnosis in the presence of incomplete data. Chinese Journal of Chemical Engineering, 2020, 28(9): 2358-2367

[4] LI Yun, YANG Fan. Robust adaptive attitude control for non-rigid spacecraft with quantized control input. IEEE/CAA Journal of Automatica Sinica, 2020, 7(2): 472-481

[5] WANG Kangcheng, SHANG Chao, LIU Lei, JIANG Yongheng, HUANG Dexian, YANG Fan. Dynamic soft sensor development based on convolutional neural networks. Industrial & Engineering Chemistry Research, 2019, 58(26): 11521-11531

[6] LAI Shiqi, YANG Fan, CHEN Tongwen, CAO Liang. Accelerated multiple alarm flood sequence alignment for abnormality pattern mining. Journal of Process Control, 2019, 82: 44-57

[7] SHANG Chao, YANG Fan, HUANG Dexian, JI Hongquan, HUANG Xiaolin. Generalized grouped contributions for hierarchical fault diagnosis with group Lasso. Control Engineering Practice, 2019, 93, 104193

[8] SHANG Chao, YANG Fan, HUANG Biao, HUANG Dexian. Recursive slow feature analysis for adaptive monitoring of industrial processes. IEEE Transactions on Industrial Electronics, 2018, 65(11): 8895-8905

[9] 萧德云, 杨帆, 张益农, 耿立辉. UD分解与偏差补偿结合用于变量带误差模型辨识. 控制理论与应用. 2018, 35(7): 949-955

[10] GUO Cen, HU Wenkai, LAI Shiqi, YANG Fan, CHEN Tongwen. An accelerated alignment method for analyzing time sequences of industrial alarm floods. Journal of Process Control, 2017, 57: 102-115

[11] LAI Shiqi, YANG Fan, CHEN Tongwen. Online pattern matching and prediction of incoming alarm floods. Journal of Process Control, 2017, 56: 69-78

[12] SU Jianjun, WANG Dezheng, ZHANG Yinong, YANG Fan, ZHAO Yan, PANG Xiangkun. Capturing causality for fault diagnosis based on multi-valued alarm series using transfer entropy. Entropy, 2017, 19(12): 663

[13] GAO Xinqing, YANG Fan, SHANG Chao, HUANG Dexian. A novel data-driven method for simultaneous performance assessment and retuning of PID controllers. Industrial & Engineering Chemistry Research, 2017, 56(8): 2127–2139

[14] GUO Feihong, SHANG Chao, HUANG Biao, WANG Kangcheng, YANG Fan, HUANG Dexian. Monitoring of operating point and process dynamics via probabilistic slow feature analysis, Chemometrics and Intelligent Laboratory Systems, 2016, 151: 115-125

[15] WANG Jiandong, YANG Fan, CHEN Tongwen, SHAH Sirish L. An overview of industrial alarm systems: Main causes for alarm overloading, research status, and open problems. IEEE Transactions on Automation Science and Engineering, 2016, 13(2): 1045-1061

[16] SHANG Chao, HUANG Biao, YANG Fan, HUANG Dexian. Slow feature analysis for monitoring and diagnosis of control performance. Journal of Process Control, 2016, 39: 21-34

[17] JIANG Benben, YANG Fan, HUANG Dexian. Simultaneous structure and parameter identification of multivariate systems by matrix decomposition. Transactions of the Institute of Measurement and Control, 2016, 38(12): 1411-1420

[18] GAO Xinqing, YANG Fan, SHANG Chao, HUANG Dexian. A review of control loop monitoring and diagnosis: Prospects of controller maintenance in big data era. Chinese Journal of Chemical Engineering, 2016, 24 (8): 952-962

[19] YU Weijun, YANG Fan. Detection of causality between process variables based on industrial alarm data using transfer entropy. Entropy, 2015, 17(8): 5868-5887

[20] JIANG Benben, YANG Fan, WANG Wei, HUANG Dexian. Simultaneous identification of bi-directional paths in closed-loop systems with coloured noise. Automatica, 2015, 58: 139-142

[21] SHANG Chao, HUANG Biao, YANG Fan, HUANG Dexian. Probabilistic slow feature analysis-based representation learning from massive process data for soft sensor modeling. AIChE Journal, 2015, 61(12): 4126-4139

[22] SHANG Chao, YANG Fan, GAO Xinqing, HUANG Xiaolin, SUYKENS Johan A K, HUANG Dexian. Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis. AIChE Journal, 2015, 61(11): 3666-3682

[23] JIANG Benben, HUANG Dexian, ZHU Xiaoxiang, YANG Fan, BRAATZ Richard D. Canonical variate analysis-based contributions for fault identification. Journal of Process Control, 2015, 26: 17-25

[24] DUAN Ping, YANG Fan, SHAH Sirish L, CHEN Tongwen. Transfer zero-entropy and its application for capturing cause and effect relationship between variables. IEEE Transactions on Control Systems Technology, 2015, 23(3): 855-867

[25] JIANG Benben, YANG Fan, WANG Wei, HUANG Dexian. Identification of bidirectional path models based on process data. IEEE Transactions on Automation Science and Engineering, 2015, 12(2): 666-679

[26] ZHANG Cong, YANG Fan, YE Hao. Informative conditions for a data set in a MIMO closed-loop system with a switching controller. International Journal of Robust and Nonlinear Control, 2015, 25(9): 1265-1281

[27] SHANG Chao, GAO Xinqing, YANG Fan, HUANG Dexian. Novel Bayesian framework for dynamic soft sensor based on support vector machine with finite impulse response. IEEE Transactions on Control Systems Technology, 2014, 23(4): 1550-1557

[28] ZHU Jianfeng, SHU Yidan, ZHAO Jinsong, YANG Fan. A dynamic alarm management strategy for chemical process transitions. Journal of Loss Prevention in the Process Industries, 2014, 30: 207-218

[29] GAO Xinqing, YANG Fan, HUANG Dexian, DING Yanjun. An iterative two-level optimization method for the modeling of Wiener structure nonlinear dynamic soft sensors. Industrial & Engineering Chemistry Research, 2014, 53(3): 1172-1178

[30] SHANG Chao, YANG Fan, HUANG Dexian, LYU Wenxiang. Data-driven soft sensor development based on deep learning technique. Journal of Process Control, 2014, 24(3): 223-233

[31] DUAN Ping, CHEN Tongwen, SHAH Sirish L, YANG Fan. Methods for root cause diagnosis of plant-wide oscillations. AIChE Journal, 2014, 60(6): 2019-2034

[32] DUAN Ping, YANG Fan, CHEN Tongwen, SHAH Sirish L. Direct causality detection via the transfer entropy approach. IEEE Transactions on Control Systems Technology, 2013, 21(6): 2052-2066

[33] YANG Fan, XIAO Deyun, SHAH Sirish L. Signed directed graph-based hierarchical modelling and fault propagation analysis for large-scale systems. IET Control Theory and Applications, 2013, 7(4): 537-550

[34] WAN Yiming, YANG Fan, LV Ning, XU Haipeng, YE Hao, LI Weichang, XU Peng, SONG Liming, USADI Adam K. Statistical root cause analysis of novel faults based on digraph models. Chemical Engineering Research & Design, 2013, 91(1): 87-99

[35] WEI Yujie, JIANG Yongheng, YANG Fan, HUANG Dexian. Three-stage decomposition modeling for quality of gas-phase polyethylene process based on adaptive hinging hyperplanes and impulse response template. Industrial & Engineering Chemistry Research, 2013, 52(16): 5747-5756

[36] XU Haipeng, YANG Fan, YE Hao, LI Weichang, XU Peng, USADI Adam K. Weighted reconstruction-based contribution for improved fault diagnosis. Industrial & Engineering Chemistry Research, 2013, 52(29): 9858-9870

[37] 杨帆, 范牛军, 叶昊. PDC方法在化工过程变量间因果关系分析中的应用. 清华大学学报, 2013, 53(2): 210-214

[38] YANG Fan, SHAH Sirish L, XIAO Deyun, CHEN Tongwen. Improved correlation analysis and visualization of industrial alarm data. ISA Transactions, 2012, 51(4): 499-506

[39] ZHANG Cong, YANG, Fan, YE Hao. Informative property of the data set in a single-input single-output (SISO) closed-loop system with a switching controller. Chinese Journal of Chemical Engineering, 2012, 20(6): 1128-1135

[40] ZHAI Shouchao, YANG Fan, YANG Hongying, YE Hao, WANG Guizeng. Leak detection of gas pipelines based on Wigner distribution. Asia-Pacific Journal of Chemical Engineering, 2012, 7(5): 670-677

[41] YANG Fan, XIAO Deyun. Progress in root cause and fault propagation analysis of large-scale industrial processes. Journal of Control Science and Engineering, 2012, Article ID 478373

[42] YANG Fan, SHAH Sirish L, XIAO Deyun. Signed directed graph modeling and validation of industrial processes by process knowledge and process data. International Journal of Applied Mathematics and Computer Science, 2012, 22(1): 41-53

[43] 杨帆, 萧德云. 智能报警系统若干研究问题. 计算机与应用化学, 2011, 28(12): 111-117

[44] YANG Fan, XIAO Deyun, SHAH Sirish L. Optimal sensor location design for reliable fault detection in presence of false alarms. Sensors, 2009, 9(11): 8579-8592

[45] 杨帆, 萧德云. 控制系统的SDG 模型描述及故障传播分析. 控制与决策, 2009, 24(7): 1006-1011

[46] YANG Fan, XIAO Deyun. Sensor location strategy in large-scale systems for fault detection applications. Journal of Computers, 2008, 3(11): 51-57

[47] YANG Fan, XIAO Deyun. Probabilistic SDG model description and fault inference for large-scale complex systems. High Technology Letters, 2006, 12(3): 239-244

[48] 杨帆, 萧德云. SDG 建模及其应用的进展. 控制理论与应用, 2005, 22(9): 767-774

[49] 杨帆, 萧德云. 基于Agent的流程工业MES结构研究. 计算机集成制造系统——CIMS, 2003, 9(2): 107-111


会议论文(部分)

[1] ZHANG Jing, HAN Dong, YANG Fan, YE Hao, CHEN Maoyin. Frequency domain causality analysis method for multivariate systems in hypothesis testing framework // 19th IFAC World Congress, Cape Town, South Africa, August 2014: 6870-6877

[2] MA Yanjun, SHANG Chao, YANG Fan, HUANG Dexian. Latent subspace clustering based on deep neural networks // Proceedings of the 5th International Symposium on Advanced Control of Industrial Processes, Hiroshima, Japan, May 2014

[3] DUAN Ping, YANG Fan, CHEN Tongwen, SHAH Sirish L A new information theory-based method for causality analysis // Proceedings of the 5th International Symposium on Advanced Control of Industrial Processes, Hiroshima, Japan, May 2014

[4] YANG Fan, YU Weijun. Multi-fault diagnosis for industrial processes based on hybrid dynamic Bayesian network // Proceedings of the 32nd IASTED International Conference on Modelling, Identification and Control, Innsbruck, Austria, February 2013: 501-506

[5] JIANG Benben, YANG Fan, JIANG Yongheng, HUANG Dexian. An extended AUDI algorithm for simultaneous identification of forward and backward paths in closed-loop systems // Proceedings of the 8th IFAC Symposium on Advanced Control of Chemical Processes, Singapore, July 2012: 396-401

[6] YANG Fan, SHAH Sirish L, XIAO Deyun. Correlation analysis of alarm data and alarm limit design for industrial processes // Proceedings of 2010 American Control Conference (ACC), Baltimore, July 2010: 5850-5855

[7] YANG Fan, XIAO Deyun. SDG-based fault isolation for large-scale complex systems solved by rough set theory // Proceedings of 17th IFAC World Congress, Seoul, Korea, July 2008: 7221-7226

[8] YANG Fan, XIAO Deyun. Interval state estimation in signed directed graph based on sensitivity matrix method // 2008 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Victoria, BC, Canada, May 2008: 672-675

[9] YANG Fan, XIAO Deyun. Sensor location problem for large-scale complex systems in the framework of the dynamic signed directed graph // Proceedings of 2007 IEEE International Conference on Systems, Man and Cybernetics (SMC), Montreal, QC, Canada, October 2007: 2843-2847

[10] YANG Fan, XIAO Deyun. Approach to fault diagnosis using SDG based on fault revealing time // Proceedings of 6th World Congress on Intelligent Control and Automation (WCICA), Dalian, China, June 2006: 5744-5747 (Young Research Paper Award)


发明专利

[1] 杨帆, 何自凭, 吴奕男. 一种基于数据提取的关联报警的识别方法, CN201310309046.7

[2] 黄德先, 尚超, 杨帆, 高莘青. 基于缓慢特征分析的过程监控方法和系统,ZL201510018866.X

[3] 黄德先, 尚超, 杨帆, 高莘青. 一种基于缓慢特征回归的动态软测量方法及装置,ZL201510017159.9

[4] 黄德先, 高莘青, 沈文祎, 杨帆. 具有自动运行能力的工业控制器性能监控、诊断与维护方法,ZL201610327151.7

[5] 杨帆, 郭岑, 余玮骏. 一种基于风险评估的报警方法及系统,ZL201611243534.2


讲授课程

系统辨识理论与实践,48学时,研究生专业基础课,2012年起,每年春季学期


指导的研究生

已毕业:

余玮骏,2016;郭岑,2017;张红梅,2019;王幪达,2019;高新瑞,2019;彭浩,2019;郭振宇,2020

在读:

博士生:李维杨;工学硕士生:郁枫、林睿谦、熊琦珞、斯文;工程管理硕士生:顾凯、王卓宇、陈锦玉、刘昭颖


发表论文

[1] 董渊, 黄静, 杨帆. 研究生招生选拔中的在线方式探索:疫情应急还是长期选项?学位与研究生教育, 2020, (9): 10-16

[2] 刘小艳, 黄静, 陈铁军, 张靓, 杨帆. 新形势下研究生招生信息化的思考与探索. 中国教育信息化, 2020, (13): 37-39

[3] 刘小艳,黄静,杨帆. 工程硕士研究生考试招生制度改革与探索. 考试研究, 2020, (4): 17-21

[4] 杨帆, 萧德云. 系统辨识课程教学的理念与实践. 2019年全国自动化教育年会, 沈阳, 2019

[5] 张小平, 任怀艺, 杨帆. 高校互联网+党建工作模式的实践研究. 北京教育(高教), 2017, (11): 55-58


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