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ORCIDKai Zhang 0015
Person information
- affiliation: University of Science and Technology of Beijing, School of Automation and Electrical Engineering, China
- affiliation (PhD 2016): University of Duisburg-Essen, Institute for Automatic Control and Complex Systems, Duisburg, Germany
Other persons with the same name
- Kai Zhang — disambiguation page
- Kai Zhang 0001
![[0000-0002-9692-4333]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9692-4333")
— Temple University, Department of Computer and Information Sciences, Philadelphia, PA, USA (and 4 more) - Kai Zhang 0002 — Wuhan University of Science and Technology, College of Computer Science and Technology, Wuhan, China (and 1 more)
- Kai Zhang 0003 — University of North Carolina, Department of Statistics and Operations Research, Chapel Hill, NC, USA (and 2 more)
- Kai Zhang 0004 — Sichuan University, Chengdu, China (and 2 more)
- Kai Zhang 0005 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China (and 1 more)
- Kai Zhang 0006 — Fudan University, Shanghai, China (and 1 more)
- Kai Zhang 0007 — Bytedance Inc., San Diego, CA, USA (and 4 more)
- Kai Zhang 0008 — ETH Zurich, Computer Vision Lab, Switzerland (and 3 more)
- Kai Zhang 0009 — National Digital Switching System Engineering and Technological Research Center of China, Henan, China
- Kai Zhang 0010 — Xidian University, School of Electronic Engineering, National Lab of Radar Signal Processing, Xi'an, China
- Kai Zhang 0011 — Central China Normal University, National Engineering Research Center for E-Learning, China
- Kai Zhang 0012 — Tsinghua University, Graduate School at Shenzhen, Shenzhen Key Laboratory of Advanced Sensor and Integrated System, China
- Kai Zhang 0013 — Shenzhen Polytechnic, Automotive and Transportation Engineering, China
- Kai Zhang 0014 — Southwest University, College of Agronomy and Biotechnology, Beibei, China
- Kai Zhang 0016 — Shanghai University of Electric Power, Department of Information Security, China (and 1 more)
- Kai Zhang 0017 — Texas A&M University, Department of Electrical and Computer Engineering, TX, USA (and 1 more)
- Kai Zhang 0018 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Kai Zhang 0019 — Shenzhen University, Shenzhen Audencia Business School, China
- Kai Zhang 0021 — University of California, San Diego, CA, USA
- Kai Zhang 0022 — Pennsylvania State University, Department of Kinesiology, University Park, PA, USA
- Kai Zhang 0023 — National University of Defense Technology, Changsha, China
- Kai Zhang 0024 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Kai Zhang 0025 — Worcester Polytechnic Institute, Department of Electrical and Computer Engineering, MA, USA
- Kai Zhang 0026 — PLA SSF Information Engineering University, Zhengzhou, China (and 1 more)
- Kai Zhang 0027 — TUMCREATE Ltd., Electrification Suite and Test Lab, Singapore
- Kai Zhang 0028 — Stanford University, Department of Mechanical Engineering, CA, USA
- Kai Zhang 0029 — China University of Petroleum, Department of Reservoir Engineering, Qingdao, China
- Kai Zhang 0030 — Beijing Institution of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
- Kai Zhang 0031 — Northwest Minzu University, School of Mathematics and Computer Science, Lanzhou, China
- Kai Zhang 0032 — South China University of Technology, Guangdong Cardiovascular Institute, Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
- Kai Zhang 0033 — Ohio State University, Columbus, OH, USA (and 1 more)
- Kai Zhang 0034 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, China
- Kai Zhang 0035 — Beijing University of Posts and Telecommunications, School of Cyberspace Security, Information Security Center, National Engineering Laboratory for Disaster Backup and Recovery, China
- Kai Zhang 0036 — Chang'an University, School of Automobile Engineering, Xi'an, China
- Kai Zhang 0037 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Kai Zhang 0038 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, Anhui, China
- Kai Zhang 0039 — Lehigh University, Bethlehem, PA, USA (and 2 more)
- Kai Zhang 0040 — Harbin Institute of Technology, Center for Control Theory and Guidance Technology, China (and 1 more)
- Kai Zhang 0041 — University of Texas Health Science Center, McWilliams School of Biomedical Informatics, Houston, TX, USA
- Kai Zhang 0042 — Shandong University of Science and Technology, College of Geodesy and Geomatics, Qingdao, China (and 1 more)
- Kai Zhang 0043 — Xi'an Jiaotong University, School of Mechanical Engineering, China
- Kai Zhang 0044 — Shaanxi Normal University, School of Mathematics and Statistics, China (and 1 more)
- Kai Zhang 0045 — Cornell University, Cornell Tech, Ithaca, IA, USA
- Kai Zhang 0046 — Northwestern Polytechnical University, School of Astronautics, Xi'an, China
- Kai Zhang 0047 — New Jersey Institute of Technology, Computer Vision Laboratory, Department of Computer Science, Newark, NJ, USA
- Kai Zhang 0048 — Chinese Academy of Sciences, CAS, Department of Key Laboratory of Computational Optical Imagine Technology, Aerospace Information Research Institute, China
- Kai Zhang 0049 — Hunan Normal University, Changsha, College of Information Science and Engineering, China (and 1 more)
- Kai Zhang 0050 — Dalian University of Technology, College of Computer Science and Technology, China
- Kai Zhang 0051 — Southwest Jiaotong University, School of Mechanical Engineering, Chengdu, China (and 1 more)
- Kai Zhang 0052 — University of Notre Dame, Department of Computer Science and Engineering, IN, USA
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2020 – today
- 2024
[c7]Zhang Xiaowen, Kai Zhang, Zhiwen Chen, Linlin Li:
A Hybrid Process Data and Knowledge-Based Fault Diagnosis Method for Product Quality Monitoring of a Hot Rolling Mill. ICIT 2024: 1-6- 2021
- [j17]Kai Zhang, Kaixiang Peng, Shanshan Zhao, Fan Wang:
A Novel Feature-Extraction-Based Process Monitoring Method for Multimode Processes With Common Features and Its Applications to a Rolling Process. IEEE Trans. Ind. Informatics 17(9): 6466-6475 (2021) - 2020
- [j16]Peng Tang, Kaixiang Peng, Jie Dong, Kai Zhang, Shanshan Zhao:
Monitoring of Nonlinear Processes With Multiple Operating Modes Through a Novel Gaussian Mixture Variational Autoencoder Model. IEEE Access 8: 114487-114500 (2020) - [j15]Kai Zhang, Kaixiang Peng, Steven X. Ding, Zhiwen Chen, Xu Yang:
A Correlation-Based Distributed Fault Detection Method and Its Application to a Hot Tandem Rolling Mill Process. IEEE Trans. Ind. Electron. 67(3): 2380-2390 (2020)
2010 – 2019
- 2019
- [j14]Zhiwen Chen, Yue Cao, Steven X. Ding, Kai Zhang, Tim Koenings, Tao Peng, Chunhua Yang, Weihua Gui:
A Distributed Canonical Correlation Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring. IEEE Trans. Ind. Informatics 15(5): 2710-2720 (2019) - [j13]Hongtian Chen, Hui Yi, Bin Jiang, Kai Zhang, Zhiwen Chen:
Data-Driven Detection of Hot Spots in Photovoltaic Energy Systems. IEEE Trans. Syst. Man Cybern. Syst. 49(8): 1731-1738 (2019) - [c6]Tianjing Qi, Kai Zhang, Kaixiang Peng, Shanshan Zhao:
A Kernel Canonical Correlation Analysis-Based Fault Detection Method with Application to a Hot Tandem Rolling Mill Process. CAA SAFEPROCESS 2019: 333-338 - [c5]Ruihua Jiao, Kaixiang Peng, Kai Zhang, Liang Ma, Yanting Pi:
A Novel Scheme for Remaining Useful Life Prediction and Safety Assessment Based on Hybrid Method. CAA SAFEPROCESS 2019: 395-400 - 2018
- [j12]Kai Zhang, Kaixiang Peng, Yuri A. W. Shardt:
A Comparison of Different Statistics for Detecting Multiplicative Faults in Multivariate Statistics-Based Fault Detection Approaches. IEEE Access 6: 43808-43823 (2018) - [j11]Kai Zhang, Kaixiang Peng, Ruohui Chu, Jie Dong:
Implementing multivariate statistics-based process monitoring: A comparison of basic data modeling approaches. Neurocomputing 290: 172-184 (2018) - [j10]Kai Zhang, Kaixiang Peng, Jie Dong:
A Common and Individual Feature Extraction-Based Multimode Process Monitoring Method With Application to the Finishing Mill Process. IEEE Trans. Ind. Informatics 14(11): 4841-4850 (2018) - 2017
- [j9]Zhiwen Chen, Steven X. Ding, Hao Luo, Kai Zhang:
An alternative data-driven fault detection scheme for dynamic processes with deterministic disturbances. J. Frankl. Inst. 354(1): 556-570 (2017) - [j8]Kai Zhang, Steven X. Ding, Yuri A. W. Shardt, Zhiwen Chen, Kaixiang Peng:
Assessment of T2- and Q-statistics for detecting additive and multiplicative faults in multivariate statistical process monitoring. J. Frankl. Inst. 354(2): 668-688 (2017) - [j7]Kai Zhang, Jie Dong, Kaixiang Peng:
A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process. J. Frankl. Inst. 354(2): 702-721 (2017) - 2016
- [b1]Kai Zhang:
Performance Assessment for Process Monitoring and Fault Detection Methods. Springer Vieweg 2016, ISBN 978-3-658-15970-2, pp. 1-153 - [j6]Kaixiang Peng, Qianqian Li, Kai Zhang, Jie Dong:
Quality-related process monitoring for dynamic non-Gaussian batch process with multi-phase using a new data-driven method. Neurocomputing 214: 317-328 (2016) - [j5]Kaixiang Peng, Kai Zhang, Bo You, Jie Dong, Zidong Wang:
A Quality-Based Nonlinear Fault Diagnosis Framework Focusing on Industrial Multimode Batch Processes. IEEE Trans. Ind. Electron. 63(4): 2615-2624 (2016) - [c4]Kai Zhang, Yuri A. W. Shardt, Zhiwen Chen, Steven X. Ding, Kaixiang Peng:
A brief survey of different statistics for detecting multiplicative faults in multivariate statistical process monitoring. CDC 2016: 2152-2157 - 2015
- [j4]Jie Dong, Kai Zhang, Ya Huang, Gang Li, Kaixiang Peng:
Adaptive total PLS based quality-relevant process monitoring with application to the Tennessee Eastman process. Neurocomputing 154: 77-85 (2015) - [j3]Kaixiang Peng, Kai Zhang, Bo You, Jie Dong:
Quality-related prediction and monitoring of multi-mode processes using multiple PLS with application to an industrial hot strip mill. Neurocomputing 168: 1094-1103 (2015) - [j2]Kaixiang Peng, Kai Zhang, Jie Dong, Bo You:
Quality-relevant fault detection and diagnosis for hot strip mill process with multi-specification and multi-batch measurements. J. Frankl. Inst. 352(3): 987-1006 (2015) - 2014
- [j1]Kaixiang Peng, Kai Zhang, Jie Dong, Xu Yang:
A new data-driven process monitoring scheme for key performance indictors with application to hot strip mill process. J. Frankl. Inst. 351(9): 4555-4569 (2014) - [c3]Haiyang Hao, Kai Zhang, Steven X. Ding, Adel Haghani, Hao Luo:
A data-based performance management framework for large-scale industrial processes. CCA 2014: 772-777 - [c2]Hao Luo, Steven X. Ding, Kai Zhang, Shen Yin:
A data-driven fault detection approach for static processes with deterministic disturbances. ISIE 2014: 2404-2409 - 2013
- [c1]Haiyang Hao, Kai Zhang, Steven X. Ding, Zhiwen Chen, Yaguo Lei, Zhikun Hu:
A KPI-related multiplicative fault diagnosis scheme for industrial processes. ICCA 2013: 1460-1465
Coauthor Index
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