Chao Shang

Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research (eBook, PDF)

• Format: PDF

Produktbeschreibung

Nominated as an outstanding PhD thesis by Tsinghua University

Develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle

Proposes an effective process monitoring strategy to eliminate false alarms in industrial production

Presents a holistic framework for adaptive process monitoring system design

Offers dynamic quality prediction models with improved data utilization and accuracy for product quality control

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 143
• Erscheinungstermin: 22. Februar 2018
• Englisch
• ISBN-13: 9789811066771
• Artikelnr.: 52935544

Inhaltsangabe

Introduction.- Concurrent monitoring of steady state and process dynamics with SFA.- Online monitoring and diagnosis of control performance with SFA and contribution plots.- Recursive SFA algorithm and adaptive monitoring system design.- Probabilistic SFR model and its applications in dynamic quality prediction.- Improved DPLS model with temporal smoothness and its applications in dynamic quality prediction.- Nonlinear and dynamic soft sensing model based on Bayesian framework.- Summary and open problems.