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, 译, 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] YU Feng, XIONG Qiluo, CAO Liang, YANG Fan. Stable soft sensor modeling based on causality analysis. Control Engineering Practice, accepted
[2] KLIMCHENKO Vladimir, TORGASHOV Andrei, SHARDT Yuri A W, YANG Fan. Multi-output soft sensor with a multivariate filter that predicts errors applied to an industrial reactive distillation process. Mathematics, 2021, 9, 1947
[3] 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
[4] 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
[5] 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
[6] 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
[7] 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
[8] 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
[9] 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
[10] 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
[11] 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
[12] 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
[13] LAI Shiqi, YANG Fan, CHEN Tongwen. Online pattern matching and prediction of incoming alarm floods. Journal of Process Control, 2017, 56: 69-78
[14] 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
[15] 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
[16] 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
[17] 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
[18] 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
[19] 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
[20] 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
[21] YU Weijun, YANG Fan. Detection of causality between process variables based on industrial alarm data using transfer entropy. Entropy, 2015, 17(8): 5868-5887
[22] 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
[23] 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
[24] 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
[25] 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
[26] 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
[27] 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
[28] 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
[29] 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
[30] 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
[31] 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
[32] 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
[33] 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
[34] 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
[35] 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
[36] 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
[37] 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
[38] 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
[39] 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
[40] 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
[41] 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
[42] 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
[43] 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
[44] 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
[45] 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
[46] 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
[47] 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
[48] YANG Fan, XIAO Deyun. Sensor location strategy in large-scale systems for fault detection applications. Journal of Computers, 2008, 3(11): 51-57
[49] YANG Fan, XIAO Deyun. Probabilistic SDG model description and fault inference for large-scale complex systems. High Technology Letters, 2006, 12(3): 239-244
[50] 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
[51] 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] GUO Cen, HU Wenkai, YANG Fan, HUANG Dexian. A deep learning technique for process fault detection and diagnosis in the presence of incomplete data. 30th China Process Control Conference, Kunming, China, July 2019 (张钟俊院士优秀论文奖)
[2] GAO Xinqing, YANG Fan, HUANG Dexian. Model quality assessment and model mismatch detection: A temporal smoothness regularization approach. IFAC-PapersOnLine, 2018, 51(18): 1-6 (Proceedings of the 10th IFAC International Symposium on Advanced Control of Chemical Processes, Shenyang, Liaoning, China, July 25-27, 2018, Keynote speech)
[3] 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
[4] 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
[5] 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
[6] 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
[7] 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
[8] 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
[9] 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
[10] 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
[11] 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
[12] 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
[6] 韩静, 张百胜, 陈力, 刘建伟, 董辛酉, 杨帆, 曹亮, 郁枫, 李维杨, 王德政. 通信系统的故障根因分析方法、系统和计算机存储介质与流程,ZL201910975121.0
标准
中国国际科技促进会团体标准《流程工业报警系统的干扰报警识别与消除导则》(T/CI020—2021)
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;郁枫,2021
在读:
博士生:李维杨、朱雅琪;工学硕士生: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、闫硕、林雨
指导本科生综合论文训练
2012年:李云昊、傅望帆、金捷、蔡国全;2013年:余玮骏、唐伟财;2014年:郭岑;2015年:王莹、胡梦琳;2016年:毛利轩、韩一钊;2017年:于隽、姚浩天、金耶赞;2018年:李维杨、柳洋;2019年:谌若谷、张义德;2021年:向沛文、谷子雨;2022年:聂祎昕、臧凯
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] 陈铁军,杨帆.博士生“申请—考核”制招生方式与实践. 教育教学论坛, 2019, (39): 56-57.
[5] 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
[6] 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