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张淑美

发布时间: 2019-06-26     来源:

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E430

  编:300072

电子信箱: shumeizhang@tju.edu.cn

 

主要经历:

(1)     2016/09--2019/02   浙江大学  控制理论与控制工程专业 博士后

(2)     2011/09--2016/07   东北大学  控制理论与控制工程专业  获工学博士学位

(3)     2009/09--2011/06   东北大学  控制理论与控制工程专业  获工学硕士学位

(4)     2005/09--2009/06   东北大学  自动化专业  获工学学士学位

 

主要研究方向:

(1)     过程监测及故障诊断

(2)     大数据挖掘与分析

(3)     机器学习

 

主要科研项目:

1.     浙江省博士后择优资助科研项目(No. 511200-X81701):大型燃煤发电机组的微小故障检测研究,2017.9-2018.9,主持。

2.     NSFC-浙江省两化融合基金(No. U1709211):百万千瓦超超临界机组的精细状态监测、故障诊断与自愈调控关键技术研究,参与,负责精细状态监测算法研究。

3.     国家自然科学基金青年基金项目(No. 61403072):基于混合模型的多模态复杂工业过程监测研究,参与,负责过渡模态的建模与监测算法研究。

4.     国家自然科学基金(No. 61074074):多模态复杂工业生产过程监测及故障诊断方法的研究,参与,负责模态识别及多模态过程监测算法研究。

代表性论著、学术著作:

学术论文:

1.     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.

2.     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, DOI: 10.1109/TII.2019.2896987.

3.     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.

4.     Shumei Zhang, Chunhui Zhao*, Chunhui Zhao*. Hybrid independent component analysis (H-ICA) with simultaneous analysis of high-order and second-order statistics for industrial process monitoring. Chemometrics and Intelligent Laboratory Systems. 2019, 185, 47-58.

5.     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.

6.     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.

7.     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.

8.     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.

9.     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.

10.   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.

11.   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.

12.   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.

13.   Shumei Zhang, Fuli Wang, Shu Wang*, Shuai Tan and Yuqing Chang. On-line mode identification of transitions for multi-mode process using pca based on differential transform. The 27th Chinese Control and Decision Conference (CCDC), Qingdao, China, May 23-25, 2015, 580–585.

14.   Shumei Zhang*, Fuli Wang, Shu Wang, Shuai Tan and Yuqing Chang. Multivariate process monitoring based on the distribution test of the data. Proceedings of the 11th World Congress on Intelligent Control and Automation (WCICA), Shenyang, China, June 29 - July 4, 2014, 2723–2728.

15.   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.

16.   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.

17.   He Sun, Shumei Zhang, Chunhui Zhao*, Furong Gao. A sparse reconstruction strategy for online fault diagnosis in nonstationary processes with no priori fault information. Industrial & Engineering Chemistry Research. 2017, 56 (24), 6993–7008.

18.   Yan Qin, Chunhui Zhao*, Shumei Zhang, Furong Gao. Multimode and multiphase batch process understanding and monitoring based on between-mode similarity evaluation and multimode discriminative information analysis. Industrial & Engineering Chemistry Research. 2017, 56(34), 9679–9690.

19.   He Sun, Shumei Zhang, Chunhui Zhao*, Youxian Sun. Fault isolation method for nonstationary industrial processes. The 29th Chinese Control and Decision Conference (CCDC), Chongqing, China, May 28–30, 2017.

20.   Wanke Yu, Chunhui Zhao*, Shumei Zhang. A Two-step Parallel Phase Partition Algorithm for Monitoring Multiphase Batch Processes with Limited Batches. The 20th World Congress of the International Federation of Automatic Control (IFAC), Toulouse, France, July 9-14, 2017.

主要学术成就、奖励及荣誉:

1.     20187月,张钟俊院士优秀论文奖

其他(社会兼职等):

IEEE TIEIECRNeurocomputing以及《控制与决策》等国内外著名期刊审稿人

招生方向及要求:

招生方向:控制理论与控制工程

注:(1) 欢迎自动控制或数学及应用数学专业的学生

(2) 熟悉常用仿真软件,如Matlab, Python

(3) 具备良好的英语写作交流能力.

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