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Xin Peng
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Cited by
Year
Multimode process monitoring and fault detection: A sparse modeling and dictionary learning method
X Peng, Y Tang, W Du, F Qian
IEEE Transactions on Industrial Electronics 64 (6), 4866-4875, 2017
1162017
Distributed process monitoring based on canonical correlation analysis with partly-connected topology
X Peng, SX Ding, W Du, W Zhong, F Qian
Control Engineering Practice 101, 104500, 2020
482020
Online performance monitoring and modeling paradigm based on just-in-time learning and extreme learning machine for a non-Gaussian chemical process
X Peng, Y Tang, W Du, F Qian
Industrial & Engineering Chemistry Research 56 (23), 6671-6684, 2017
482017
Distributed partial least squares based residual generation for statistical process monitoring
C Tong, T Lan, H Yu, X Peng
Journal of Process Control 75, 77-85, 2019
462019
Semantic modelling of ship behavior in harbor based on ontology and dynamic bayesian network
Y Wen, Y Zhang, L Huang, C Zhou, C Xiao, F Zhang, X Peng, W Zhan, ...
ISPRS International Journal of Geo-Information 8 (3), 107, 2019
432019
A sampling method for calculating regional ship emission inventories
X Peng, Y Wen, L Wu, C Xiao, C Zhou, D Han
Transportation Research Part D: Transport and Environment 89, 102617, 2020
342020
Online quality prediction of industrial terephthalic acid hydropurification process using modified regularized slow-feature analysis
W Zhong, C Jiang, X Peng, Z Li, F Qian
Industrial & Engineering Chemistry Research 57 (29), 9604-9614, 2018
342018
Operation optimization of hydrocracking process based on Kriging surrogate model
W Zhong, C Qiao, X Peng, Z Li, C Fan, F Qian
Control Engineering Practice 85, 34-40, 2019
292019
Globally-optimal contrast maximisation for event cameras
X Peng, L Gao, Y Wang, L Kneip
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (7), 3479-3495, 2021
282021
A review of real-time fault diagnosis methods for industrial smart manufacturing
W Yan, J Wang, S Lu, M Zhou, X Peng
Processes 11 (2), 369, 2023
262023
Real-time semisupervised predictive modeling strategy for industrial continuous catalytic reforming process with incomplete data using slow feature analysis
C Jiang, W Zhong, Z Li, X Peng, M Yang
Industrial & Engineering Chemistry Research 58 (37), 17406-17423, 2019
262019
Concurrent monitoring strategy for static and dynamic deviations based on selective ensemble learning using slow feature analysis
H Hong, C Jiang, X Peng, W Zhong
Industrial & Engineering Chemistry Research 59 (10), 4620-4635, 2020
252020
Visual odometry with an event camera using continuous ray warping and volumetric contrast maximization
Y Wang, J Yang, X Peng, P Wu, L Gao, K Huang, J Chen, L Kneip
Sensors 22 (15), 5687, 2022
242022
Globally-optimal event camera motion estimation
X Peng, Y Wang, L Gao, L Kneip
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
242020
A deep learning-based robust optimization approach for refinery planning under uncertainty
C Wang, X Peng, C Shang, C Fan, L Zhao, W Zhong
Computers & Chemical Engineering 155, 107495, 2021
222021
Distributed data-driven optimal fault detection for large-scale systems
L Li, SX Ding, X Peng
Journal of Process Control 96, 94-103, 2020
222020
A just-in-time learning based monitoring and classification method for hyper/hypocalcemia diagnosis
X Peng, Y Tang, W He, W Du, F Qian
IEEE/ACM transactions on computational biology and bioinformatics 15 (3 …, 2017
222017
Performance-guaranteed adaptive self-healing control for wastewater treatment processes
P Du, X Peng, Z Li, L Li, W Zhong
Journal of Process Control 116, 147-158, 2022
212022
Optimal observer-based fault detection and estimation approaches for T–S fuzzy systems
L Li, SX Ding, X Peng
IEEE Transactions on Fuzzy Systems 30 (2), 579-590, 2020
202020
Robust monitoring of industrial processes using process data with outliers and missing values
L Luo, S Bao, X Peng
Chemometrics and Intelligent Laboratory Systems 192, 103827, 2019
192019
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Articles 1–20