Search Results - "van Sprang, Eric N. M."
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1
Multivariate data analysis on historical IPV production data for better process understanding and future improvements
Published in Biotechnology and bioengineering (01-09-2010)“…Historical manufacturing data can potentially harbor a wealth of information for process optimization and enhancement of efficiency and robustness. To extract…”
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2
Performance assessment and improvement of control charts for statistical batch process monitoring
Published in Statistica Neerlandica (01-08-2006)“…This paper describes the concepts of statistical batch process monitoring and the associated problems. It starts with an introduction to process monitoring in…”
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Manufacturing Vaccines: An Illustration of Using PAT Tools for Controlling the Cultivation of Bordetella pertussis
Published in Quality engineering (29-10-2007)“…An illustration of the operational consistency of the upstream part of a biopharmaceutical process is given. For this purpose four batch cultivations of…”
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4
Single channel event (SCE) for managing sensor failures in MSPC
Published in Computers & chemical engineering (01-05-2006)“…This paper makes use of the single channel event (SCE) index for managing sensor failures. The SCE index provides prior information how and if a sensor failure…”
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Near-Infrared Spectroscopic Monitoring of a Series of Industrial Batch Processes Using a Bilinear Grey Model
Published in Applied spectroscopy (01-08-2003)“…A good process understanding is the foundation for process optimization, process monitoring, end-point detection, and estimation of the end-product quality…”
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6
Dynamic time warping of spectroscopic BATCH data
Published in Analytica chimica acta (28-11-2003)“…This paper discusses a method for warping spectral batch data. This method is a modification of a procedure proposed by Kassidas et al. [AIChE Journal 44…”
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Critical evaluation of approaches for on-line batch process monitoring
Published in Chemical engineering science (01-09-2002)“…Since the introduction of batch process monitoring using component models in 1992, different approaches for statistical batch process monitoring have been…”
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