Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Eric N.M. van Sprang"'
Publikováno v:
Biotechnology and Bioengineering. 107:96-104
Historical manufacturing data can potentially harbor a wealth of information for process optimization and enhancement of efficiency and robustness. To extract useful data multivariate data analysis (MVDA) using projection methods is often applied. In
Publikováno v:
Chemometrics and Intelligent Laboratory Systems, 73, 181-187. Elsevier B.V
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 73(2), 181-187. Elsevier
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 73(2), 181-187. Elsevier
This paper describes the sensitivity of false alarm rate to misspecification of the number of PCA components in multivariate statistical process control (MSPC) models. Using simulations, it is shown that choosing an incorrect number of components in
Autor:
Menno Dreischor, Marc K. von Gunten, Chang Hsiung, Eric N.M. van Sprang, Nada A. O'Brien, Donald M. Friedrich, Henk-Jan Ramaker, Christopher G. Pederson
Publikováno v:
SPIE Proceedings.
While significant progress has been made towards the miniaturization of Raman, mid-infrared (IR), and near-infrared (NIR) spectrometers for homeland security and law enforcement applications, there remains continued interest in pushing the technology
Autor:
Hans F. M. Boelens, David Baines, Ian Weaver, Johan A. Westerhuis, Henk-Jan Ramaker, David Whiteman, Eric N.M. van Sprang
Publikováno v:
Analyst, 128, 98-102. Royal Society of Chemistry
Many high quality products are produced in a batch wise manner. One of the characteristics of a batch process is the recipe driven nature. By repeating the recipe in an identical manner a desired end-product is obtained. However, in spite of repeatin
Publikováno v:
Analytica chimica acta, 498(1-2), 133-153. Elsevier
Analytica Chimica Acta, 498, 133-153. Elsevier
Analytica Chimica Acta, 498, 133-153
Analytica Chimica Acta, 498, 133-153. Elsevier
Analytica Chimica Acta, 498, 133-153
This paper discusses a method for warping spectral batch data. This method is a modification of a procedure proposed by Kassidas et al. [AlChE Journal 44 (1998) 864; Journal of Process Control 8 (1998) 381]. This iterative procedure is based on the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::823de05eecd82c330bf80a29f289ce32
https://pure.amc.nl/en/publications/dynamic-time-warping-of-spectroscopic-batch-data(01c6fcba-0b08-4d98-a4fa-df019dc46ac1).html
https://pure.amc.nl/en/publications/dynamic-time-warping-of-spectroscopic-batch-data(01c6fcba-0b08-4d98-a4fa-df019dc46ac1).html
Autor:
Age K. Smilde, Stephen P. Gurden, Henk-Jan Ramaker, Johan A. Westerhuis, Dietrich Wienke, Eric N.M. van Sprang
Publikováno v:
Applied Spectroscopy, 57, 1007-1019. Society for Applied Spectroscopy
Applied spectroscopy, 57(8), 1007-1019. Society for Applied Spectroscopy
Applied spectroscopy, 57(8), 1007-1019. Society for Applied Spectroscopy
A good process understanding is the foundation for process optimization, process monitoring, end-point detection, and estimation of the end-product quality. Performing good process measurements and the construction of process models will contribute t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77849ed98b26543c6c7cc9d977a57305
https://dare.uva.nl/personal/pure/en/publications/nir-spectroscopic-monitoring-of-a-series-of-industrial-batch-processes-using-a-bilinear-grey-model(ee101572-2ea9-43d6-a630-1136dbc1e497).html
https://dare.uva.nl/personal/pure/en/publications/nir-spectroscopic-monitoring-of-a-series-of-industrial-batch-processes-using-a-bilinear-grey-model(ee101572-2ea9-43d6-a630-1136dbc1e497).html
Autor:
Age K. Smilde, Eric N.M. van Sprang, Johan A. Westerhuis, Henk-Jan Ramaker, Stephen P. Gurden
Publikováno v:
Chemical Engineering Science, 57(18), 3979-3992. Elsevier
CHEMICAL ENGINEERING SCIENCE, 57(18), 3979-3991. Elsevier BV
CHEMICAL ENGINEERING SCIENCE, 57(18), 3979-3991. Elsevier BV
Since the introduction of batch process monitoring using component models in 1992, different approaches for statistical batch process monitoring have been suggested in the literature. This is the first evaluation of five proposed approaches so far. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::208bea15c3aa66c4542fc11f13c16d3d
https://dare.uva.nl/personal/pure/en/publications/critical-evaluation-of-approaches-for-online-batch-processs-monitoring(d4427822-8c6e-4816-af68-3f450e14caf2).html
https://dare.uva.nl/personal/pure/en/publications/critical-evaluation-of-approaches-for-online-batch-processs-monitoring(d4427822-8c6e-4816-af68-3f450e14caf2).html
Autor:
Age K. Smilde, Henk-Jan Ramaker, Johan A. Westerhuis, Hans F. M. Boelens, Eric N.M. van Sprang
Publikováno v:
Analytica Chimica Acta. 526:111