The Resource Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research, by Chao Shang, (electronic resource)

Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research, by Chao Shang, (electronic resource)

Label
Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research
Title
Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research
Statement of responsibility
by Chao Shang
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
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
Member of
http://library.link/vocab/creatorName
Shang, Chao
Image bit depth
0
LC call number
  • TA169.7
  • T55-T55.3
  • TA403.6
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
Series statement
Springer Theses, Recognizing Outstanding Ph.D. Research,
http://library.link/vocab/subjectName
  • Engineering
  • Statistics
  • Automatic control
  • Manufacturing industries
  • Machinery
  • Tools
  • Quality control
  • Reliability
  • Industrial safety
  • Engineering
  • Quality Control, Reliability, Safety and Risk
  • Manufacturing, Machines, Tools
  • Control
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Label
Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research, by Chao Shang, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XVIII, 143 p. 59 illus., 46 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811066771
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-6677-1
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-10-6677-1
Label
Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research, by Chao Shang, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XVIII, 143 p. 59 illus., 46 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811066771
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-6677-1
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-10-6677-1

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