Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research

Автор: Chao Shang

Език:

Корици: С меки корици

Издател: Springer Verlag, Singapore

Наличност: Външен склад в ограничено количество

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This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in...

Информация за книгата

Автор

Chao Shang

Език

Английски език

Корици

Книга - С меки корици

Издадена

2019

страници

143

EAN

9789811338892

Enbook ID

21361049

Издател

Springer Verlag, Singapore

Теглоt

454

Размери

155 x 235 x 10

Пълно описание

This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.

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Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също