Documents disponibles écrits par cet auteur

Histogram matching, hypothesis testing, and statistical control - chart - assisted nucleation detection using bulk video imaging for optimal switching between nucleation and seed conditioning steps / Levente L. Simon in Industrial & engineering chemistry research, Vol. 49 N° 20 (Octobre 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 20 (Octobre 2010) . - pp. 9932-9944 Titre : Histogram matching, hypothesis testing, and statistical control - chart - assisted nucleation detection using bulk video imaging for optimal switching between nucleation and seed conditioning steps Type de document : texte imprimé Auteurs : Levente L. Simon, Auteur ; Kaoutar Abbou Oucherif, Auteur ; Zoltan K. Nagy, Auteur Année de publication : 2011 Article en page(s) : pp. 9932-9944 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Conditioning  Imaging Résumé : This article investigates the systematic nucleation detection performance of hypothesis testing, histogram matching, and control charts based on bulk video imaging. The control charts are built on the time series of the bin-by-bin distances between the reference and online acquired image histograms. In addition to the bin-by-bin histogram measures, the cross-bin earth mover's distance measure has been evaluated. Hypothesis testing using the Kolmogorov-Smirnof (KS) statistics was also investigated as an additional method to detect nucleation. This work is relevant to the crystallization process control with in situ seed generation. Following the nucleation step in unseeded crystallization processes, it is common to keep the temperature constant or to increase it in order to allow the stabilization of the suspension, also called the digestion step. The nucleation detection methods discussed in this work allow the automated and robust switching between the nucleation and digestion steps. It is concluded that histogram matching can be successfully used for systematic nucleation detection, while the KS hypothesis-testing-based detection is strongly dependent on the histogram resolution. Furthermore, it is suggested that histogram matching is performed on the first principal components of color images in order to decrease the autocorrelation of histogram distance time series. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23325815 [article] Histogram matching, hypothesis testing, and statistical control - chart - assisted nucleation detection using bulk video imaging for optimal switching between nucleation and seed conditioning steps [texte imprimé] / Levente L. Simon, Auteur ; Kaoutar Abbou Oucherif, Auteur ; Zoltan K. Nagy, Auteur . - 2011 . - pp. 9932-9944. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 20 (Octobre 2010) . - pp. 9932-9944 Mots-clés : Conditioning  Imaging Résumé : This article investigates the systematic nucleation detection performance of hypothesis testing, histogram matching, and control charts based on bulk video imaging. The control charts are built on the time series of the bin-by-bin distances between the reference and online acquired image histograms. In addition to the bin-by-bin histogram measures, the cross-bin earth mover's distance measure has been evaluated. Hypothesis testing using the Kolmogorov-Smirnof (KS) statistics was also investigated as an additional method to detect nucleation. This work is relevant to the crystallization process control with in situ seed generation. Following the nucleation step in unseeded crystallization processes, it is common to keep the temperature constant or to increase it in order to allow the stabilization of the suspension, also called the digestion step. The nucleation detection methods discussed in this work allow the automated and robust switching between the nucleation and digestion steps. It is concluded that histogram matching can be successfully used for systematic nucleation detection, while the KS hypothesis-testing-based detection is strongly dependent on the histogram resolution. Furthermore, it is suggested that histogram matching is performed on the first principal components of color images in order to decrease the autocorrelation of histogram distance time series. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23325815

Simultaneous quadrature method of moments for the solution of population balance equations, using a differential algebraic equation framework / Jolius Gimbun in Industrial & engineering chemistry research, Vol. 48 N° 16 (Août 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 16 (Août 2009) . - pp. 7798–7812 Titre : Simultaneous quadrature method of moments for the solution of population balance equations, using a differential algebraic equation framework Type de document : texte imprimé Auteurs : Jolius Gimbun, Auteur ; Zoltan K. Nagy, Auteur ; Chris D. Rielly, Auteur Année de publication : 2009 Article en page(s) : pp. 7798–7812 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Quadrature  method  of  moment  Differential  algebraic  equation  system Résumé : The quadrature method of moments (QMOM) is a recent technique of solving population balance equations for particle dynamics simulation. In this paper, an alternative solution for the QMOM is described and thoroughly tested, which is based on the formulation and simultaneous solution of a semi-explicit differential algebraic equation (DAE) system. The DAE system consists of the ordinary differential equations resulting from the application of the method of moments, as well as a system of nonlinear algebraic equations derived by applying the quadrature theory for the approximation of the moments. It is shown that the proposed approach provides an efficient procedure for evolving the quadrature abscissas and weights from the QMOM. The Jacobian matrix of the DAE system is provided analytically to make the solution more robust. The DAE-QMOM method is compared to the well-established method for solving QMOM based on the product difference (PD) algorithm. The numerical results are compared to the analytical solutions in the case of breakage, aggregation, growth, and nucleation mechanisms. Excellent agreements are found on the moment evolution predicted by both methods. However, the DAE-QMOM method is found to be more accurate and robust than the PD-QMOM in some cases. Additionally, the DAE-QMOM is also capable of providing the solution significantly faster than the PD-QMOM method. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900548s [article] Simultaneous quadrature method of moments for the solution of population balance equations, using a differential algebraic equation framework [texte imprimé] / Jolius Gimbun, Auteur ; Zoltan K. Nagy, Auteur ; Chris D. Rielly, Auteur . - 2009 . - pp. 7798–7812. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 16 (Août 2009) . - pp. 7798–7812 Mots-clés : Quadrature  method  of  moment  Differential  algebraic  equation  system Résumé : The quadrature method of moments (QMOM) is a recent technique of solving population balance equations for particle dynamics simulation. In this paper, an alternative solution for the QMOM is described and thoroughly tested, which is based on the formulation and simultaneous solution of a semi-explicit differential algebraic equation (DAE) system. The DAE system consists of the ordinary differential equations resulting from the application of the method of moments, as well as a system of nonlinear algebraic equations derived by applying the quadrature theory for the approximation of the moments. It is shown that the proposed approach provides an efficient procedure for evolving the quadrature abscissas and weights from the QMOM. The Jacobian matrix of the DAE system is provided analytically to make the solution more robust. The DAE-QMOM method is compared to the well-established method for solving QMOM based on the product difference (PD) algorithm. The numerical results are compared to the analytical solutions in the case of breakage, aggregation, growth, and nucleation mechanisms. Excellent agreements are found on the moment evolution predicted by both methods. However, the DAE-QMOM method is found to be more accurate and robust than the PD-QMOM in some cases. Additionally, the DAE-QMOM is also capable of providing the solution significantly faster than the PD-QMOM method. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900548s