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Shumei Zhang
Shumei Zhang
在 tju.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Slow-feature-analysis-based batch process monitoring with comprehensive interpretation of operation condition deviation and dynamic anomaly
S Zhang, C Zhao
IEEE Transactions on Industrial Electronics 66 (5), 3773-3783, 2018
1552018
Simultaneous static and dynamic analysis for fine-scale identification of process operation statuses
S Zhang, C Zhao, B Huang
IEEE Transactions on Industrial Informatics 15 (9), 5320-5329, 2019
842019
Pseudo Time-Slice Construction Using a Variable Moving Window k Nearest Neighbor Rule for Sequential Uneven Phase Division and Batch Process Monitoring
S Zhang, C Zhao, S Wang, F Wang
Industrial & Engineering Chemistry Research 56 (3), 728-740, 2017
742017
A sparse reconstruction strategy for online fault diagnosis in nonstationary processes with no a priori fault information
H Sun, S Zhang, C Zhao, F Gao
Industrial & Engineering Chemistry Research 56 (24), 6993-7008, 2017
712017
Incipient fault detection for multiphase batch processes with limited batches
S Zhang, C Zhao, F Gao
IEEE Transactions on Control Systems Technology 27 (1), 103-117, 2017
582017
Stationarity test and Bayesian monitoring strategy for fault detection in nonlinear multimode processes
S Zhang, C Zhao
Chemometrics and Intelligent Laboratory Systems 168, 45-61, 2017
572017
Two-directional concurrent strategy of mode identification and sequential phase division for multimode and multiphase batch process monitoring with uneven lengths
S Zhang, C Zhao, F Gao
Chemical Engineering Science 178, 104-117, 2018
552018
Hybrid independent component analysis (H-ICA) with simultaneous analysis of high-order and second-order statistics for industrial process monitoring
S Zhang, C Zhao
Chemometrics and Intelligent Laboratory Systems 185, 47-58, 2019
452019
Novel monitoring strategy combining the advantages of the multiple modeling strategy and Gaussian mixture model for multimode processes
S Zhang, F Wang, S Tan, S Wang, Y Chang
Industrial & Engineering Chemistry Research 54 (47), 11866-11880, 2015
412015
A novel strategy of the data characteristics test for selecting a process monitoring method automatically
S Zhang, F Wang, L Zhao, S Wang, Y Chang
Industrial & Engineering Chemistry Research 55 (6), 1642-1654, 2016
282016
Multimode and multiphase batch processes understanding and monitoring based on between-mode similarity evaluation and multimode discriminative information analysis
Y Qin, C Zhao, S Zhang, F Gao
Industrial & Engineering Chemistry Research 56 (34), 9679-9690, 2017
192017
Two-dimensional multiphase batch process monitoring based on sparse canonical variate analysis
S Zhang, X Bao
Journal of Process Control 116, 185-198, 2022
142022
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data
S Zhang, S Wang
Journal of Process Control 114, 105-119, 2022
142022
Concurrent analysis of variable correlation and data distribution for monitoring large-scale processes under varying operation conditions
S Zhang, C Zhao
Neurocomputing 349, 225-238, 2019
142019
An effective method for satellite mission scheduling based on reinforcement learning
X Bao, S Zhang, X Zhang
2020 Chinese Automation Congress (CAC), 4037-4042, 2020
132020
Sparse local fisher discriminant analysis for gas-water two-phase flow status monitoring with multisensor signals
W Wu, C Tan, S Zhang, F Dong
IEEE Transactions on Industrial Informatics 19 (3), 2886-2898, 2022
122022
Flow status identification based on multiple slow feature analysis of gas–liquid two-phase flow in horizontal pipes
F Dong, L Li, S Zhang
Measurement Science and Technology 32 (5), 055301, 2021
122021
Multiple hypotheses testing-based operating optimality assessment and nonoptimal cause identification for multiphase uneven-length batch processes
Y Liu, F Wang, Y Chang, R Ma, S Zhang
Industrial & Engineering Chemistry Research 55 (21), 6133-6144, 2016
122016
Flow state monitoring of gas-water two-phase flow using multi-Gaussian mixture model based on canonical variate analysis
F Dong, W Wu, S Zhang
Flow Measurement and Instrumentation 79, 101904, 2021
112021
Process abnormity identification by fuzzy logic rules and expert estimated thresholds derived certainty factor
J Yuan, S Zhang, S Wang, F Wang, L Zhao
Chemometrics and Intelligent Laboratory Systems 209, 104232, 2021
112021
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