Focusing on continuous, multivariate processes, this book introduces statistical methods and modeling techniques for process monitoring, process and controller performance evaluation, and fault diagnosis. It covers empirical modeling development techniques, modeling process signals for trend analysis, and sensor failure detection and diagnosis.
Illustrating techniques in model development, signal processing, data reconciliation, process monitoring, quality assurance, intelligent real-time process supervision, and fault detection and diagnosis, this work offers simulation and control strategies for batch fermentation applications in the food, pharmaceutical, and chemical industries.
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