Title：Lecturer

E-mail：zhangchuanfang@ustb.edu.cn

Office：Room 1026, Mechanical and Electrical Information Building

Education：

September 2009-June 2013, Northeast University, Automation, Bachelor degree;

September 2013-July 2015, Northeast University, Control Engineering, Master degree;

September 2017-June 2021, University of Science and Technology Beijing, Control Science and Engineering, Doctor degree

Work Experience：July 2015 - May 2016, Process engineer of Etch Department in Semiconductor Manufacturing North China(Beijing) Corporation

Research Interests：Process monitoring, operating performance assessment, fault diagnosis

Courses：Introduction to Engineering

Selected Publications：

1. Chuanfang Zhang, Kaixiang Peng*, Jie Dong. An extensible quality-related fault isolation framework based on dual broad partial least squares with application to the hot rolling process, Expert Systems With Applications, 2021, 167: 114166.

2. Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A nonlinear full condition process monitoring method for hot rolling process with dynamic characteristic, ISA Transactions, 2021,112: 363-372.

3. Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A novel plant-wide process monitoring framework based on distributed Gap-SVDD with adaptive radius, Neurocomputing, 2019, 350: 1-12.

4. Chuanfang Zhang, Kaixiang Peng*, Jie Dong. An incipient fault detection and self-learning identification method based on robust SVDD and RBM-PNN, Journal of Process Control, 2020, 85: 173-183.

5. Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A P-t-SNE and MMEMPM based quality-related process monitoring method for a variety of hot rolling processes, Control Engineering Practice, 2019, 350: 1-11.

6. Chuanfang Zhang, Kaixiang Peng*, Jie Dong. A lifecycle operating performance assessment framework for hot strip mill process based on robust kernel canonical variable analysis, Control Engineering Practice, 2021, 107: 104698.

7. Chuanfang Zhang, Wenyou Du, Yunpeng Fan, Yingwei Zhang*, Ji Zhang. Fault diagnosis of non-Gaussian process based on FKICA, Journal of the Franklin Institute, 2017, 354(6): 2573-2590.

Selected Projects：

[1] National key research and development program funded project, research on data driven manufacturing process closed-loop control analysis and optimization method (2021YFB3301201), 2022/01-2024/12, participant

[2] National key research and development program funded project, aluminum/copper strip intelligent process control technology based on industrial big data (2017YFB0306403), 2017/01-2021/12, participant

[3] General program of National Natural Science Foundation of China, research on quality monitoring and fault diagnosis methods for the whole hot strip rolling process under system level and multiple working conditions (61873024), 2019/01-2022/12, participant

[4] General program of National Natural Science Foundation of China, joint data-driven fault diagnosis method and its application for steel rolling process quality (61773053), 2018/01-2021/12, participant

Honors & Awards：

In 2021, the second prize of the college group of the "Fourth Metallurgical Youth Innovation and Creativity Competition" of the Chinese Society of Metals

In 2021, the Outstanding Award of the 9th "Beiye Cup" Youth Academic Speech Competition of Beijing Metal Society