Chunhui Zhao
Title
Cited by
Cited by
Year
Stage-based soft-transition multiple PCA modeling and on-line monitoring strategy for batch processes
C Zhao, F Wang, N Lu, M Jia
Journal of Process Control 17 (9), 728-741, 2007
2042007
Fault-relevant principal component analysis (FPCA) method for multivariate statistical modeling and process monitoring
C Zhao, F Gao
Chemometrics and Intelligent Laboratory Systems 133, 1-16, 2014
1262014
A full‐condition monitoring method for nonstationary dynamic chemical processes with cointegration and slow feature analysis
C Zhao, B Huang
AIChE Journal 64 (5), 1662-1681, 2018
962018
Critical-to-fault-degradation variable analysis and direction extraction for online fault prognostic
C Zhao, F Gao
IEEE Transactions on Control Systems Technology 25 (3), 842-854, 2016
902016
Statistical analysis and online monitoring for multimode processes with between-mode transitions
C Zhao, Y Yao, F Gao, F Wang
Chemical Engineering Science 65 (22), 5961-5975, 2010
892010
Step-wise sequential phase partition (SSPP) algorithm based statistical modeling and online process monitoring
C Zhao, Y Sun
Chemometrics and Intelligent Laboratory Systems 125, 109-120, 2013
792013
Nonlinear batch process monitoring using phase-based kernel-independent component analysis− principal component analysis (KICA− PCA)
C Zhao, F Gao, F Wang
Industrial & engineering chemistry research 48 (20), 9163-9174, 2009
792009
Sparse exponential discriminant analysis and its application to fault diagnosis
W Yu, C Zhao
IEEE Transactions on Industrial Electronics 65 (7), 5931-5940, 2017
662017
Linearity evaluation and variable subset partition based hierarchical process modeling and monitoring
W Li, C Zhao, F Gao
IEEE Transactions on Industrial Electronics 65 (3), 2683-2692, 2017
642017
Quality prediction based on phase‐specific average trajectory for batch processes
C Zhao, F Wang, Z Mao, N Lu, M Jia
AIChE Journal 54 (3), 693-705, 2008
632008
Adaptive monitoring method for batch processes based on phase dissimilarity updating with limited modeling data
C Zhao, F Wang, F Gao, N Lu, M Jia
Industrial & engineering chemistry research 46 (14), 4943-4953, 2007
602007
Improved batch process monitoring and quality prediction based on multiphase statistical analysis
C Zhao, F Wang, Z Mao, N Lu, M Jia
Industrial & engineering chemistry research 47 (3), 835-849, 2008
592008
Dynamic distributed monitoring strategy for large-scale nonstationary processes subject to frequently varying conditions under closed-loop control
C Zhao, H Sun
IEEE Transactions on Industrial Electronics 66 (6), 4749-4758, 2018
582018
Adaptive monitoring based on independent component analysis for multiphase batch processes with limited modeling data
C Zhao, F Wang, Z Mao, N Lu, M Jia
Industrial & engineering chemistry research 47 (9), 3104-3113, 2008
582008
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
552018
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
552017
Statistical analysis and online monitoring for handling multiphase batch processes with varying durations
C Zhao, S Mo, F Gao, N Lu, Y Yao
Journal of Process Control 21 (6), 817-829, 2011
522011
Recursive exponential slow feature analysis for fine-scale adaptive processes monitoring with comprehensive operation status identification
W Yu, C Zhao
IEEE Transactions on Industrial Informatics 15 (6), 3311-3323, 2018
512018
Nonlinear process monitoring based on kernel dissimilarity analysis
C Zhao, F Wang, Y Zhang
Control Engineering Practice 17 (1), 221-230, 2009
502009
Multispace Total Projection to Latent Structures and its Application to Online Process Monitoring
C Zhao, Y Sun
IEEE, 2013
492013
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Articles 1–20