Moving window kernel PCA for adaptive monitoring of nonlinear processes X Liu, U Kruger, T Littler, L Xie, S Wang Chemometrics and intelligent laboratory systems 96 (2), 132-143, 2009 | 237 | 2009 |
Statistical monitoring of complex multivatiate processes: with applications in industrial process control U Kruger, L Xie John Wiley & Sons, 2012 | 173 | 2012 |
The current state of control loop performance monitoring–a survey of application in industry M Bauer, A Horch, L Xie, M Jelali, N Thornhill Journal of Process Control 38, 1-10, 2016 | 160 | 2016 |
Statisticalbased monitoring of multivariate nonGaussian systems X Liu, L Xie, U Kruger, T Littler, S Wang AIChE journal 54 (9), 2379-2391, 2008 | 118 | 2008 |
Detecting abnormal situations using the Kullback–Leibler divergence J Zeng, U Kruger, J Geluk, X Wang, L Xie Automatica 50 (11), 2777-2786, 2014 | 107 | 2014 |
Fast multivariate empirical mode decomposition X Lang, Q Zheng, Z Zhang, S Lu, L Xie, A Horch, H Su IEEE Access 6, 65521-65538, 2018 | 82 | 2018 |
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 | 72 | 2013 |
Median ensemble empirical mode decomposition X Lang, N ur Rehman, Y Zhang, L Xie, H Su Signal Processing 176, 107686, 2020 | 70 | 2020 |
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 | 64 | 2018 |
Developments and applications of nonlinear principal component analysis–a review U Kruger, J Zhang, L Xie Principal manifolds for data visualization and dimension reduction, 1-43, 2008 | 64 | 2008 |
Fault detection in non-Gaussian vibration systems using dynamic statistical-based approaches Z Ge, U Kruger, L Lamont, L Xie, Z Song Mechanical Systems and Signal Processing 24 (8), 2972-2984, 2010 | 61 | 2010 |
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 | 56 | 2015 |
Multimode process monitoring with PCA mixture model X Xu, L Xie, S Wang Computers & Electrical Engineering 40 (7), 2101-2112, 2014 | 55 | 2014 |
Local ICA for multivariate statistical fault diagnosis in systems with unknown signal and error distributions Z Ge, L Xie, U Kruger, Z Song AIChE Journal 58 (8), 2357-2372, 2012 | 55 | 2012 |
Stability analysis of networked control system L Xie, JM Zhang, SQ Wang Proceedings. International Conference on Machine Learning and Cybernetics 2 …, 2002 | 48 | 2002 |
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 | 46 | 2013 |
Adaptive KPCA modeling of nonlinear systems Z Li, U Kruger, L Xie, A Almansoori, H Su IEEE Transactions on Signal Processing 63 (9), 2364-2376, 2015 | 44 | 2015 |
An autonomous valve stiction detection system based on data characterization A Zakharov, E Zattoni, L Xie, OP Garcia, SL Jämsä-Jounela Control Engineering Practice 21 (11), 1507-1518, 2013 | 44 | 2013 |
Statistical monitoring of dynamic multivariate processes part 1. modeling autocorrelation and cross-correlation L Xie, U Kruger, D Lieftucht, T Littler, Q Chen, SQ Wang Industrial & engineering chemistry research 45 (5), 1659-1676, 2006 | 44 | 2006 |
Inferential model for industrial polypropylene melt index prediction with embedded priori knowledge and delay estimation H Lou, H Su, L Xie, Y Gu, G Rong Industrial & engineering chemistry research 51 (25), 8510-8525, 2012 | 43 | 2012 |