Jiusun Zeng
Cited by
Cited by
Detecting abnormal situations using the Kullback–Leibler divergence
J Zeng, U Kruger, J Geluk, X Wang, L Xie
Automatica 50 (11), 2777-2786, 2014
Novel just-in-time learning-based soft sensor utilizing non-Gaussian information
L Xie, J Zeng, C Gao
IEEE Transactions on Control Systems Technology 22 (1), 360-368, 2013
Improvement of identification of blast furnace ironmaking process by outlier detection and missing value imputation
J Zeng, C Gao
Journal of Process Control 19 (9), 1519-1528, 2009
A chaos‐based iterated multistep predictor for blast furnace ironmaking process
C Gao, J Chen, J Zeng, X Liu, Y Sun
AIChE Journal 55 (4), 947-962, 2009
Data-driven predictive control for blast furnace ironmaking process
J Zeng, C Gao, H Su
Computers & Chemical Engineering 34 (11), 1854-1862, 2010
Application of least squares support vector machines to predict the silicon content in blast furnace hot metal
L Jian, C Gao, L Li, J Zeng
ISIJ international 48 (11), 1659-1661, 2008
Structured joint sparse principal component analysis for fault detection and isolation
Y Liu, J Zeng, L Xie, S Luo, H Su
IEEE Transactions on Industrial Informatics 15 (5), 2721-2731, 2018
Fault detection in dynamic systems using the Kullback–Leibler divergence
L Xie, J Zeng, U Kruger, X Wang, J Geluk
Control Engineering Practice 43, 39-48, 2015
Shrinking principal component analysis for enhanced process monitoring and fault isolation
L Xie, X Lin, J Zeng
Industrial & Engineering Chemistry Research 52 (49), 17475-17486, 2013
Block adaptive kernel principal component analysis for nonlinear process monitoring
L Xie, Z Li, J Zeng, U Kruger
AIChE Journal 62 (12), 4334-4345, 2016
Blast furnace system modeling by multivariate phase space reconstruction and neural networks
S Luo, C Gao, J Zeng, J Huang
Asian Journal of Control 15 (2), 553-561, 2013
Identification of the optimal control center for blast furnace thermal state based on the fuzzy C-means clustering
S Luo, J Huang, J Zeng, Q Zhang
ISIJ international 51 (10), 1668-1673, 2011
Identification of multiscale nature and multiple dynamics of the blast furnace system from operating data
C Gao, J Zeng, Z Zhou
AIChE journal 57 (12), 3448-3458, 2011
Wiener model identification of blast furnace ironmaking process
J Zeng, X Liu, C Gao, S Luo, L Jian
ISIJ international 48 (12), 1734-1738, 2008
Nonparametric density estimation of hierarchical probabilistic graph models for assumption-free monitoring
J Zeng, S Luo, J Cai, U Kruger, L Xie
Industrial & Engineering Chemistry Research 56 (5), 1278-1287, 2017
Quality-related locally weighted non-Gaussian regression based soft sensing for multimode processes
Y He, B Zhu, C Liu, J Zeng
Industrial & Engineering Chemistry Research 57 (51), 17452-17461, 2018
Using non‐linear GARCH model to predict silicon content in blast furnace hot metal
J Zeng, C Gao, X Liu, K Yang, S Luo
Asian Journal of Control 10 (6), 632-637, 2008
Fault detection and identification of blast furnace ironmaking process using the gated recurrent unit network
H Ouyang, J Zeng, Y Li, S Luo
Processes 8 (4), 391, 2020
A unified probabilistic monitoring framework for multimode processes based on probabilistic linear discriminant analysis
Y Liu, J Zeng, J Bao, L Xie
IEEE Transactions on Industrial Informatics 16 (10), 6291-6300, 2020
A state space model for monitoring of the dynamic blast furnace system
J Cai, J Zeng, S Luo
ISIJ international 52 (12), 2194-2199, 2012
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