| Fault detection and diagnosis in industrial systems LH Chiang, EL Russell, RD Braatz Springer Science & Business Media, 2000 | 2935 | 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 | 770 | 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 | 655 | 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 | 642 | 2000 |
| Other titles published in this Series: Supervision and Control for Industrial Processes A Controllers | 625 | 2000 |
| Advances and opportunities in machine learning for process data analytics SJ Qin, LH Chiang Computers & Chemical Engineering 126, 465-473, 2019 | 338 | 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 | 222 | 2003 |
| 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 | 202 | 2021 |
| Big data analytics in chemical engineering L Chiang, B Lu, I Castillo Annual review of chemical and biomolecular engineering 8 (1), 63-85, 2017 | 194 | 2017 |
| 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 | 162 | 2003 |
| Genetic algorithms combined with discriminant analysis for key variable identification LH Chiang, RJ Pell Journal of Process Control 14 (2), 143-155, 2004 | 136 | 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 | 105 | 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 | 91 | 2006 |
| 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 | 78 | 2019 |
| 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 | 73 | 2014 |
| Fault Detection and Diagnosis in Industrial Systems-By LH Chiang, EL Russell, RD Braatz, ISBN 1 852 33327 8. 279 pages. $42, published by Springer, London T McAvoy Journal of Process Control 3 (12), 453-454, 2002 | 71 | 2002 |
| Investigation of transfer learning for image classification and impact on training sample size W Zhu, B Braun, LH Chiang, JA Romagnoli Chemometrics and Intelligent Laboratory Systems 211, 104269, 2021 | 64 | 2021 |
| Semi-supervised online soft sensor maintenance experiences in the chemical industry B Lu, L Chiang Journal of Process Control 67, 23-34, 2018 | 56 | 2018 |
| Dimensionality reduction for visualizing industrial chemical process data M Joswiak, Y Peng, I Castillo, LH Chiang Control Engineering Practice 93, 104189, 2019 | 54 | 2019 |
| Industrial implementation of on-line multivariate quality control LH Chiang, LF Colegrove Chemometrics and Intelligent Laboratory Systems 88 (2), 143-153, 2007 | 52 | 2007 |
Richard D. BraatzEdwin R. Gilliland Professor, Massachusetts Institute of TechnologyVerified email at mit.edu
