Uwe Kruger
TitleCited byYear
Principal manifolds for data visualization and dimension reduction
AN Gorban, B Kégl, DC Wunsch, AY Zinovyev
Springer 58, 96-130, 2008
4542008
Process monitoring approach using fast moving window PCA
X Wang, U Kruger, GW Irwin
Industrial & engineering chemistry research 44 (15), 5691-5702, 2005
2832005
Recursive partial least squares algorithms for monitoring complex industrial processes
X Wang, U Kruger, B Lennox
Control Engineering Practice 11 (6), 613-632, 2003
1902003
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
1872009
Statistical monitoring of complex multivatiate processes: with applications in industrial process control
U Kruger, L Xie
John Wiley & Sons, 2012
1302012
Detection of incipient tooth defect in helical gears using multivariate statistics
N Baydar, Q Chen, A Ball, U Kruger
Mechanical systems and signal processing 15 (2), 303-321, 2001
1132001
Statistical‐based monitoring of multivariate non‐Gaussian systems
X Liu, L Xie, U Kruger, T Littler, S Wang
AIChE journal 54 (9), 2379-2391, 2008
1082008
Synthesis of T2 and Q statistics for process monitoring
Q Chen, U Kruger, M Meronk, AYT Leung
Control Engineering Practice 12 (6), 745-755, 2004
932004
Diagnosis of process faults in chemical systems using a local partial least squares approach
U Kruger, G Dimitriadis
AIChE Journal 54 (10), 2581-2596, 2008
902008
Nonlinear PCA with the local approach for diesel engine fault detection and diagnosis
X Wang, U Kruger, GW Irwin, G McCullough, N McDowell
IEEE Transactions on Control Systems Technology 16 (1), 122-129, 2007
902007
Improved principal component monitoring of large-scale processes
U Kruger, Y Zhou, GW Irwin
Journal of Process Control 14 (8), 879-888, 2004
882004
Extended PLS approach for enhanced condition monitoring of industrial processes
U Kruger, Q Chen, DJ Sandoz, RC McFarlane
AIChE journal 47 (9), 2076-2091, 2001
822001
Improved principal component monitoring using the local approach
U Kruger, S Kumar, T Littler
Automatica 43 (9), 1532-1542, 2007
802007
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network (vol 37, pg 1522, 2018)
H Shan, Y Zhang, Q Yang, U Kruger, MK Kalra, L Sun, W Cong, G Wang
IEEE Transactions on Medical Imaging 37 (12), 2750-2750, 2018
78*2018
Dynamic multivariate statistical process control using subspace identification
RJ Treasure, U Kruger, JE Cooper
Journal of Process Control 14 (3), 279-292, 2004
742004
Cointegration testing method for monitoring nonstationary processes
Q Chen, U Kruger, AYT Leung
Industrial & Engineering Chemistry Research 48 (7), 3533-3543, 2009
552009
Multivariate statistical process monitors
U Kruger, Q Chen, DJ Sandoz
US Patent 7,062,417, 2006
542006
Regularised kernel density estimation for clustered process data
Q Chen, U Kruger, ATY Leung
Control Engineering Practice 12 (3), 267-274, 2004
542004
Detecting abnormal situations using the Kullback–Leibler divergence
J Zeng, U Kruger, J Geluk, X Wang, L Xie
Automatica 50 (11), 2777-2786, 2014
512014
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
512010
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Articles 1–20