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