个人资料：
姓名：张淑美
职称：副教授/硕士生导师
学科专业：控制科学与工程
通讯地址：天津大学电气自动化与信息工程学院26教学楼E区430室
电子信箱：shumeizhang@tju.edu.cn
主要经历：
(1) 2019.03-至今 天津大学 电气自动化与信息工程学院 自动化系，副教授，硕士生导师
(2) 2016.09-2019.0 浙江大学 控制科学与工程学院 工控研究所 博士后
主要研究方向：
(1) 复杂工业过程智能监控及故障诊断
(2) 装备状态监测及寿命预测
(3) 多相流检测及状态分析
(4) 大数据挖掘与分析
(5) 机器学习及多源信息处理
主要科研项目：
(1) 2024.01.01-2027.12.31 国家自然科学基金面上项目：多源不确定性数据驱动的深水集输系统一体化状态监测研究，项目负责人
(2) 2020.01.01-2022.12.31 国家自然科学基金青年基金项目：多模态多时段间歇过程静动态协同监测及故障诊断研究，项目负责人
(3) 2020.04.01-2022.03.31天津市自然科学基金：复杂工业过程状态监测及故障诊断研究，项目负责人
(4) 2019.04.01-2020.12.31 国防科工局稳定支持项目：基于类脑智能的星群自主任务规划，项目负责人
(5) 2023.8-2025.12 贵州电科院项目：基于多模态的现场典型作业行为识别及违章画像关键技术研究与应用，子课题负责人
(6) 2022-2023 工业控制技术国家重点实验室开放课题：不确定性数据驱动的复杂工业过程状态监测研究，项目负责人
(7) 2023.4-2023.12 天津大学创新平台专项项目，项目负责人
(8) 2019-2020 天津大学北洋学者青年骨干人才计划项目，项目负责人
(9) 2017-2018 浙江省博士后择优资助科研项目：大型燃煤发电机组的微小故障检测研究，项目负责人
代表性论著、学术著作：
围绕工业大数据分析、多源信息融合、数据驱动的过程监控及故障诊断等方向，在IEEE TIE、IEEE TII、IEEE TASE、自动化学报等国内外权威期刊及IFAC，IEEE CDC，I2MTC等国内外重要学术会议上发表SCI/EI论文60余篇，授权国家发明专利5项。
开源代码与数据集（若使用请引用相关文章）：
(1) 气液两相流过程数据
Paper: Linghan Li, Xinyi Han, Feng Dong and Shumei Zhang*. Zero-Shot State Identification of Industrial Gas–Liquid Two-Phase Flow via Supervised Deep Slow and Steady Feature Analysis. IEEE Transactions on Industrial Informatics, vol. 20, no. 6, pp. 8170-8180, 2024.
Code & data: https://github.com/ShiningLLH/TwoPhaseFlow_S2FA_ZSL
(2) 油气水三相流过程数据
Paper: Linghan Li, Feng Dong and Shumei Zhang*. Manifold regularized deep canonical variate analysis with interpretable attribute guidance for three-phase flow process monitoring. Expert Systems with Applications, vol. 251, Art no. 124015, 2024.
Code & data: https://github.com/ShiningLLH/ThreePhaseFlow_Ag-MRDCVA
学术论文：
(1) Shumei Zhang*, Sijia Wang, Qi Lei, and Chunhui Zhao. Cross-domain Bilateral Transfer Learning for Fault Diagnosis under Incomplete Multisource Domains, IEEE Transactions on Automation Science and Engineering. 2025, 22, 4298-4310. (中科院二区TOP)
(2) Shumei Zhang*, Sijia Wang, Chunhui Zhao. Vertices Packaging-based Interval Independent Component Analysis (VP-I2CA) for Fault Detection with Process Uncertainty. IEEE Transactions on Industrial Informatics. 2024, 20(1), 919-930. (中科院一区TOP)
(3) Linghan Li, Feng Dong, Shumei Zhang*. Zero-shot State Identification of Industrial Gas-liquid Two-phase Flow via Supervised Deep Slow and Steady Feature Analysis. IEEE Transactions on Industrial Informatics. 2024, 20(6), 8170-8180. (中科院一区TOP)
(4) Wentao Wu, Chao Tan, Shumei Zhang*, Feng Dong. Sparse Local Fisher Discriminant Analysis for Gas-water Two-phase Flow Status Monitoring with Multi-sensor Signals. IEEE Transactions on Industrial Informatics. 2023, 19(3), 2886-2898. (中科院一区TOP)
(5) Shumei Zhang, Chunhui Zhao*. Slow feature analysis based batch process monitoring with comprehensive interpretation of operation condition deviation and dynamic anomaly. IEEE Transactions on Industrial Electronics. 2019, 66(5), 3773-3783. (中科院一区TOP)
(6) Shumei Zhang, Chunhui Zhao*, Biao Huang. Simultaneous static and dynamic analysis for fine-scale identification of process operation statuses. IEEE Transactions on Industrial Informatics. 2019, 15(9), 5320-5329. (中科院一区TOP)
(7) Shumei Zhang, Chunhui Zhao*, Furong Gao. Incipient fault detection for multiphase batch processes with limited batches. IEEE Transactions on Control Systems Technology. 2019, 27(1), 103-117. (中科院二区TOP)
(8) Wentao Wu, Chao Tan, Shumei Zhang*, Feng Dong. Joint mining of fluid knowledge and multi-sensor data for gas–water two-phase flow status monitoring and evolution analysis. Advanced Engineering Informatics, 2024, 62, 102687. (中科院一区TOP)
(9) Linghan Li, Feng Dong, Shumei Zhang*. Manifold regularized deep canonical variate analysis with interpretable attribute guidance for three-phase flow process monitoring. Expert Systems with Applications. 2024, 251, 124015. (中科院一区TOP)
(10) Shumei Zhang*, Sijia Wang, and Feng Dong. Generalized Gaussian Distribution-based Interval Principal Component Analysis (GGD-IPCA) for Anomaly Detection of Processes with Uncertainty, IEEE Transactions on Instrumentation & Measurement. 2024, 73, 2516315. (中科院二区TOP)
(11) Shumei Zhang, Weifeng Mao, Feng Dong, and Sijia Wang*. A robust fault diagnosis model with interval distribution analysis for industrial processes with data uncertainties. Journal of Process control. 2025, 147, 103377.
(12) Shumei Zhang, Sijia Wang, Feng Dong*, and Chunhui Zhao. Transferable intervalization and midpoint de-mixing interval independent component analysis for industrial fault detection under data uncertainty, Measurement. 2024, 115025.
(13) Zhao Li, Chao Tan, Shumei Zhang, Feng Dong. Global-local state analysis and monitoring-based velocity measurement of oil–gas–water three-phase flow. Chemical Engineering Journal, 2024, 497, 154759.
(14) Zhao Li, Chao Tan, Shumei Zhang, Feng Dong. Global-Local Structure Analysis-Based Status Monitoring for Oil-Gas-Water Flow. IEEE Sensors Journal. 2024, 24, 41610-41622.
(15) Zhao Li, Chao Tan, Shumei Zhang, Feng Dong. Graph Embedding-Based Multilinear Subspace Analysis of State Ensembles in Gas-Liquid Flow. IEEE Transactions on Instrumentation and Measurement. 2024, 73, 9600312.
(16) Shumei Zhang*, Xiaoli Bao, Sijia Wang. Common canonical variate analysis (CCVA) based modeling and monitoring for multimode processes. Chemical Engineering Science. 2023, 271, 118581.
(17) Shumei Zhang*, Xiaoli Bao. Phase Partition and Online Monitoring for Batch Processes Based on Harris Hawks Optimization. Control Engineering Practice. 2023, 138, 105554.
(18) Linghan Li, Feng Dong, Shumei Zhang*. Adaptive Spatio-temporal Feature Extraction and Analysis for Horizontal Gas-water Two-phase Flow State Prediction. Chemical Engineering Science. 2023, 268, 118434.
(19) Shumei Zhang*, Xiaoli Bao. Slow-Varying Batch Process Monitoring Based on Canonical Variate Analysis. The Canadian Journal of Chemical Engineering. 2023, 101, 400-419.
(20) Shumei Zhang*, Xiaoli Bao. Two-dimensional Multiphase Batch Process Monitoring Based on Sparse Canonical Variate Analysis. Journal of Process control. 2022, 116, 185-198.
(21) Shumei Zhang*, Sijia Wang. Spectral Radius-based Interval Principal Component Analysis (SR-IPCA) for Fault Detection in Industrial Processes with Imprecise Data. Journal of Process control. 2022, 114, 105-119.
(22) Shumei Zhang, Chunhui Zhao*, Concurrent analysis of variable correlation and data distribution for monitoring large-scale processes under varying operation conditions, Neurocomputing, 2019, 349, 225-238.
(23) Feng Dong, Linghan Li, Shumei Zhang*. Flow status identification based on multiple slow feature analysis of gas–liquid two-phase flow in horizontal pipes. Measurement Science and Technology. 2021, 32, 055301.
(24) Feng Dong, Wentao Wu, Shumei Zhang*. Flow state monitoring of gas-water two-phase flow using multi-Gaussian mixture model based on canonical variate analysis. Flow Measurement and Instrumentation. 2021, 79, 101904.
(25) Jie Yuan, Shumei Zhang, Shu Wang, Fuli Wang, Luping Zhao. Process abnormity identification by fuzzy logic rules and expert estimated thresholds derived certainty factor. Chemometrics and Intelligent Laboratory Systems, 2020, 209, 104232.
(26) Jie Yuan, Shumei Zhang, Shu Wang, Fuli Wang. Abnormal condition identification via OVR-IRBF-NN for the process industry with imprecise data and semantic information. Industrial & Engineering Chemistry Research, 2020, 59 (11), 5072-5086.
(27) Shumei Zhang, Chunhui Zhao*, Furong Gao. Two-directional concurrent strategy of mode identification and sequential phase division for multimode and multiphase batch process monitoring with uneven lengths. Chemical Engineering Science. 2018, 178, 104-117.
(28) Shumei Zhang, Chunhui Zhao*. Stationarity test and Bayesian monitoring strategy for fault detection in nonlinear multimode processes. Chemometrics and Intelligent Laboratory Systems. 2017, 168, 45-61.
(29) Shumei Zhang, Chunhui Zhao*, Shu Wang*, Fuli Wang. Pseudo time-slice construction using variable moving window-k nearest neighbor (VMW-kNN) rule for sequential uneven phase division and batch process monitoring. Industrial & Engineering Chemistry Research. 2017, 56 (3), 728–740.
(30) Shumei Zhang, Fuli Wang, Luping Zhao, Shu Wang*, and Yuqing Chang. A novel strategy of data characteristic test for selecting process monitoring method automatically. Industrial & Engineering Chemistry Research. 2016, 55 (6), 1642–1654.
(31) Shumei Zhang*, Fuli Wang, Shuai Tan, Shu Wang, and Yuqing Chang. Novel monitoring strategy combining the advantages of multiple modeling strategy and Gaussian mixture model for multimode processes. Industrial & Engineering Chemistry Research. 2015, 54 (47), 11866–11880.
(32) Sijia Wang, Shumei Zhang*. Vertices Independent Component Analysis-based Status Monitoring Strategy for Processes with Uncertainties. IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022, Ottawa, Canada, May 16-19, 2022. (国际顶级会议)
(33) Shumei Zhang, Chunhui Zhao*. Two-level modeling strategy based incipient fault detection for nonstationary industrial processes. 56th IEEE Conference on Decision and Control (CDC), Melbourne, Australia, December 12-15, 2017, 5764-5769. (国际顶级会议)
(34) Shumei Zhang, Chunhui Zhao*. Sequential phase division by constructing pseudo time-slice for nonlinear multiphase batch process monitoring with uneven lengths. The 20th World Congress of the International Federation of Automatic Control (IFAC), Toulouse, France, July 9-14, 2017, 14070-14075. (国际顶级会议)
(35) 董峰, 李昭, 李凌涵, 张淑美*. 多模态动态核主成分分析的气液两相流状态监测, 自动化学报, 2022, 48(3): 762-773.
(36) 张淑美*，王福利，谭帅，王姝. 多模态过程的全自动离线模态识别方法. 自动化学报. 2016, 42 (1), 60–80.
(37) 张淑美, 李媛, 程泽*. 三线圈无线电能传输系统传输特性的研究. 湖南大学学报（自然科学版）. 2021, 48(8): 68-77.
(38) 张淑美, 王福利, 王姝*, 李嫱嫱. 基于数据特性分析的多变量过程监测. 东北大学学报(自然科学版). 2017, 38(5), 609-613.
(39) 武文韬, 张淑美, 谭超, 董峰. 气水两相流多传感器信息提取与流动状态监测, 工程热物理学报. 2022, 43(10): 2681-2686.
(40) 孟令雯, 钟晶亮, 班国邦, 席光辉，王渝淋，张淑美*. 基于文本挖掘的电网作业违章词典构建及自动识别. 控制工程, 2025, doi: https://doi.org/10.14107/j.cnki.kzgc.20240248.
主要讲授课程：
(1) 电力电子技术（本科生）
(2) 工业过程测量、控制与自动化标准（硕士生）
主要学术成就、奖励及荣誉：
(1) 2024：“浙江省自然科学奖”一等奖
(2) 2023：天津十七届青年教师教学竞赛天津大学工科组二等奖
(3) 2023：本科生毕业设计优秀指导教师
(4) 2023：2022年-2023年优秀班主任
(5) 2020：本科生毕业设计优秀指导教师
(6) 2019：天津大学北洋学者青年骨干人才入选者
(7) 2018：张钟俊院士优秀论文奖
(8) 2020届鲍小丽、2021届王思佳同学获研究生国家奖学金
其他（社会兼职等）：
天津市过程检测与控制重点实验室副主任，CAA女科技工作者委员会委员，IEEE member，自动化学会会员，IEEE TIE、IEEE TCYB、IEEE TSMC以及《自动化学报》、《控制与决策》等国内外著名期刊审稿人
招生信息：
招生方向：控制理论与控制工程（学硕）/电子信息（专硕）
注：(1) 熟悉常用仿真软件，如Matlab, Python等
(2) 具备良好的英语写作交流能力
