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 | 155 | 2018 |
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 | 84 | 2019 |
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 | 74 | 2017 |
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 | 71 | 2017 |
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 | 58 | 2017 |
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 | 57 | 2017 |
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 | 55 | 2018 |
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 | 45 | 2019 |
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 | 41 | 2015 |
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 | 28 | 2016 |
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 | 19 | 2017 |
Two-dimensional multiphase batch process monitoring based on sparse canonical variate analysis S Zhang, X Bao Journal of Process Control 116, 185-198, 2022 | 14 | 2022 |
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 | 14 | 2022 |
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 | 14 | 2019 |
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 | 13 | 2020 |
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 | 12 | 2022 |
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 | 12 | 2021 |
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 | 12 | 2016 |
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 | 11 | 2021 |
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 | 11 | 2021 |