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Dynamic Modeling of Complex Industrial Processes: Data-Driven Methods and Application Research
Paperback
Series: Springer Theses
ISBN13: 9789811338892
Publisher: Springer Nature
Published: Jan 30 2019
Pages: 143
Weight: 0.53
Height: 0.35 Width: 6.14 Depth: 9.21
Language: English
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
1 different editions
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