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

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Last updated on 19 May, 2024 19:58:32 AESTView all revisionsView all revisions

Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9789811066764
Type
NA
Publication Name
NA
ISBN
9789811066764
Publication Year
2018
Format
Hardcover
Language
English
Book Title
Dynamic Modeling of Complex Industrial Processes: Data-Driven Methods and Application Research
Author
Chao Shang
Item Length
9.3in
Publisher
Springer
Genre
Technology & Engineering, Science
Topic
Manufacturing, Electrical, Physics / General
Item Width
6.1in
Item Weight
16 Oz
Number of Pages
Xviii, 143 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Springer
ISBN-10
9811066760
ISBN-13
9789811066764
eBay Product ID (ePID)
240632233

Product Key Features

Book Title
Dynamic Modeling of Complex Industrial Processes: Data-Driven Methods and Application Research
Author
Chao Shang
Format
Hardcover
Language
English
Topic
Manufacturing, Electrical, Physics / General
Publication Year
2018
Genre
Technology & Engineering, Science
Number of Pages
Xviii, 143 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
16 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Th9701-9745
Table of Content
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.
Copyright Date
2018
Dewey Decimal
670.113
Series
Springer Theses Ser.
Dewey Edition
23
Illustrated
Yes

Item description from the seller

grandeagleretail

grandeagleretail

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