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Keyword

multivariate statistical process control

Description: A statistical quality-control approach that monitors processes using multiple correlated measurements to detect unusual variation or faults.
OpenAlex ID: keywords/multivariate-statistical-process-control
Principal Component Analysis
2001 · Leo H. Chiang, Evan L. Russell, et al. · Advanced textbooks in control and signal processing · 6,594
Survey on data-driven industrial process monitoring and diagnosis
2012 · S. Joe Qin · Annual Reviews in Control · 1,481
Multivariate SPC Charts for Monitoring Batch Processes
1995 · Paul Nomikos, John F. MacGregor · Technometrics · 1,427
Statistical process control of multivariate processes
1995 · J.F. MacGregor, T. Kourti · Control Engineering Practice · 1,274
Process analysis, monitoring and diagnosis, using multivariate projection methods
1995 · Theodora Kourti, John F. MacGregor · Chemometrics and Intelligent Laboratory Systems · 781
Process monitoring and diagnosis by multiblock PLS methods
1994 · John F. MacGregor, Christiane Jaeckle, et al. · AIChE Journal · 773
Multivariate SPC Methods for Process and Product Monitoring
1996 · Theodora Kourti, John F. MacGregor · Journal of Quality Technology · 674
Kollár Ádám Ferenc levelezése
2000 · Kollár, Ádám Ferenc · REAL-EOD (Library of the Hungarian Academy of Sciences and the Information Center Oriental Collection) · 610
Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
2000 · Evan L. Russell, Leo H. Chiang, et al. · Chemometrics and Intelligent Laboratory Systems · 526
Comparisons of MultivariateCUSUMCharts
1990 · Joseph J. Pignatiello, George C. Runger · Journal of Quality Technology · 520
Generalized contribution plots in multivariate statistical process monitoring
2000 · Johan A. Westerhuis, Stephen P. Gurden, et al. · Chemometrics and Intelligent Laboratory Systems · 508
Multimode process monitoring with Bayesian inference‐based finite Gaussian mixture models
2008 · Jie Yu, S. Joe Qin · AIChE Journal · 494
Multivariate Statistical Process Control with Industrial Applications
2002 · Robert L. Mason, John C. Young · Society for Industrial and Applied Mathematics eBooks · 443
On-line batch process monitoring using dynamic PCA and dynamic PLS models
2002 · Junghui Chen, Kun-Chih Liu · Chemical Engineering Science · 430
Decomposition of T 2 for Multivariate Control Chart Interpretation
1995 · Robert L. Mason, Nola D. Tracy, et al. · Journal of Quality Technology · 397
Fault diagnosis with multivariate statistical models part I: using steady state fault signatures
2001 · Seongkyu Yoon, John F. MacGregor · Journal of Process Control · 361
Non-parametric confidence bounds for process performance monitoring charts
1996 · E.B. Martin, A.J. Morris · Journal of Process Control · 346
Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS
1995 · Theodora Kourti, Paul Nomikos, et al. · Journal of Process Control · 340
Application of latent variable methods to process control and multivariate statistical process control in industry
2005 · Theodora Kourti · International Journal of Adaptive Control and Signal Processing · 330
High-cell-density cultivation of microorganisms
1999 · D. Riesenberg, R. Guthke · Applied Microbiology and Biotechnology · 328
Multivariate image analysis: A review with applications
2011 · J.M. Prats-Montalbán, A. de Juan, et al. · Chemometrics and Intelligent Laboratory Systems · 302
A comparison of principal component analysis, multiway principal component analysis, trilinear decomposition and parallel factor analysis for fault detection in a semiconductor etch process
1999 · Barry M. Wise, Neal B. Gallagher, et al. · Journal of Chemometrics · 296
Multiparameter Hypothesis Testing and Acceptance Sampling
1982 · Roger L. Berger · Technometrics · 284
Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG
2018 · Koichi Fujiwara, Erika Abe, et al. · IEEE Transactions on Biomedical Engineering · 261
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Model selection for partial least squares regression
2002 · Baibing Li, Julian Morris, et al. · Chemometrics and Intelligent Laboratory Systems · 254
Works count: 2,460
Citation count: 50,640
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