Leo Chiang
Leo Chiang
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Fault detection and diagnosis in industrial systems
LH Chiang, EL Russell, RD Braatz
Springer Science & Business Media, 2000
Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
LH Chiang, EL Russell, RD Braatz
Chemometrics and intelligent laboratory systems 50 (2), 243-252, 2000
Fault diagnosis based on Fisher discriminant analysis and support vector machines
LH Chiang, ME Kotanchek, AK Kordon
Computers & chemical engineering 28 (8), 1389-1401, 2004
Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
EL Russell, LH Chiang, RD Braatz
Chemometrics and intelligent laboratory systems 51 (1), 81-93, 2000
Advances and opportunities in machine learning for process data analytics
SJ Qin, LH Chiang
Computers & Chemical Engineering 126, 465-473, 2019
Exploring process data with the use of robust outlier detection algorithms
LH Chiang, RJ Pell, MB Seasholtz
Journal of Process Control 13 (5), 437-449, 2003
Process monitoring using causal map and multivariate statistics: fault detection and identification
LH Chiang, RD Braatz
Chemometrics and intelligent laboratory systems 65 (2), 159-178, 2003
Big data analytics in chemical engineering
L Chiang, B Lu, I Castillo
Annual review of chemical and biomolecular engineering 8, 63-85, 2017
Genetic algorithms combined with discriminant analysis for key variable identification
LH Chiang, RJ Pell
Journal of Process Control 14 (2), 143-155, 2004
Diagnosis of multiple and unknown faults using the causal map and multivariate statistics
LH Chiang, B Jiang, X Zhu, D Huang, RD Braatz
Journal of Process Control 28, 27-39, 2015
Industrial experiences with multivariate statistical analysis of batch process data
LH Chiang, R Leardi, RJ Pell, MB Seasholtz
Chemometrics and Intelligent Laboratory Systems 81 (2), 109-119, 2006
Industrial PLS model variable selection using moving window variable importance in projection
B Lu, I Castillo, L Chiang, TF Edgar
Chemometrics and Intelligent Laboratory Systems 135, 90-109, 2014
Recent trends on hybrid modeling for Industry 4.0
J Sansana, MN Joswiak, I Castillo, Z Wang, R Rendall, LH Chiang, ...
Computers & Chemical Engineering 151, 107365, 2021
Industrial implementation of on-line multivariate quality control
LH Chiang, LF Colegrove
Chemometrics and Intelligent Laboratory Systems 88 (2), 143-153, 2007
Data-driven methods for batch data analysis–A critical overview and mapping on the complexity scale
R Rendall, LH Chiang, MS Reis
Computers & Chemical Engineering 124, 1-13, 2019
Semi-supervised online soft sensor maintenance experiences in the chemical industry
B Lu, L Chiang
Journal of Process Control 67, 23-34, 2018
蒋浩天, 拉塞尔, 布拉茨, 段建民
机械工业出版社, 2003
Challenges and future research directions
MS Reis, RD Braatz, LH Chiang
Chemical Engineering Progress 112 (3), 46-50, 2016
Dimensionality reduction for visualizing industrial chemical process data
M Joswiak, Y Peng, I Castillo, LH Chiang
Control Engineering Practice 93, 104189, 2019
Robust inferential sensors based on ensemble of predictors generated by genetic programming
E Jordaan, A Kordon, L Chiang, G Smits
Lecture notes in computer science, 522-531, 2004
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