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Batch Processes

Monitoring and Process Understanding
Buch | Hardcover
256 Seiten
2026 | 1. Auflage
Wiley-VCH (Verlag)
978-3-527-32640-2 (ISBN)
CHF 166,60 inkl. MwSt
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Batch Processes: Monitoring and Process Understanding offers a comprehensive examination of batch process modeling, monitoring, and control, emphasizing PAT and LSB methods such as principal component analysis (PCA) and partial least squares (PLS). Batch Processes: Monitoring and Process Understanding addresses practical challenges in batch data analysis, such as preprocessing, missing data imputation, equalization, synchronization (DTW, RGTW, Multisynchro), and multi-phase modeling. Real-world case studies and hands-on MATLAB examples using the MVBatch toolbox bridge theory and practice, demonstrating how LSB methods improve quality, safety, and economic and ecological outcomes across chemical, biotech, and pharmaceutical industries. Batch Processes: Monitoring and Process Understanding is an essential guide for professionals in chemical, biotech and pharmaceutical industries seeking both foundational knowledge and advanced techniques in batch processes and data analysis.

Jose Camacho-Paez is a scientist at the research Group of Complex Systems in the Institute of Control Systems and Industrial Computing of the Technical University of Valencia, in Spain. He holds a degree in Computer Science from the University of Granada (2003) and a Ph.D. in Control Systems and Industrial Computing from the Technical University of Valencia (2007). His Ph.D. was awarded with the second Rosina Ribalta Prize to the best Ph.D. projects from the EPSON Foundation, and with the D.L. Massart Award in Chemometrics from the Belgian Chemometrics Society. He is reviewer of Chemometrics and Intelligent Laboratory Systems, AIChE Journal, Industrial & Engineering Chemistry Research, Chemical Engineering Science and Biosystems Engineering. Jesus Pico received the M.S.Eng. degree in industrial engineering and the Ph.D. degree in control engineering, both from the Technical University of Valencia (UPV), Spain. Currently he is Associate Professor at the Department of Systems Engineering and Control at the UPV. His main research interests are in nonlinear and adaptive control, modeling and control of fedbatch processes, and control methods in systems biology and bioprocesses. He has been involved in several European industry-oriented projects related to batch processes. He is member of the Technical Comitee on Bioprocesses and Biosystems of the International Federation of Automatic Control (IFAC). Alberto Ferrer is Professor of Statistics at the Department of Applied Statistics, Operation Research and Quality, and Head of the Multivariate Statistical Engineering Research Group of the Technical University of Valencia (Spain). He holds a M.S.Eng. in Agricultural Engineering (1987 - First Spanish National Award) and a Ph.D. in Statistics (1992) from the Technical University of Valencia. His research focuses on statistical techniques for quality and productivity improvement. He has been involved in several industry-oriented research projects related to batch and continuous processes. Prof. Ferrer is currently associate editor of Technometrics, member of the editorial board of Quality Engineering, member of the Council of the International Society for Business and Industrial Statistics (ISBIS), and the European Network for Business and Industrial Statistics (ENBIS).

INTRODUCTION State of the Art Two-way latent structures-based models MODELLING OF BATCH PROCESSES WITH 2-WAY MODELS Modelling of Batch Process data Cross-validation algorithms Multi-Phase Analysis Framework MULTIVARIATE STATISTICAL PROCESS CONTROL OF BATCH PROCESSES Statistical Process Control in Continuous Processes Analysis of historical data in batch processes (Phase I) On-line Monitoring of batch processes (Phase II) OTHER APPLICATIONS OF LVB METHODS TO BATCH PROCESSES Soft-sensors in batch processes Optimization of batch processes

Erscheint lt. Verlag 10.6.2026
Verlagsort Weinheim
Sprache englisch
Maße 170 x 244 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Naturwissenschaften Chemie Analytische Chemie
Naturwissenschaften Chemie Technische Chemie
Technik
Schlagworte chemical engineering • Chemie • Chemische Verfahrenstechnik • Chemistry • Computer-aided Engineering • Computergestützte Verfahrenstechnik • Industrial Chemistry • Lab Automation & Miniaturization • Laborautomatisierung u. Miniaturisierung • Technische u. Industrielle Chemie
ISBN-10 3-527-32640-5 / 3527326405
ISBN-13 978-3-527-32640-2 / 9783527326402
Zustand Neuware
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