Control Performance Management in Industrial Automation Assessment, Diagnosis and Improvement of Control Loop Performance /

Control Performance Management in Industrial Automation provides a coherent and self-contained treatment of a group of methods and applications of burgeoning importance to the detection and solution of problems with control loops that are vital in maintaining product quality, operational safety, and...

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Bibliographic Details
Main Author: Jelali, Mohieddine. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: London : Springer London : Imprint: Springer, 2013.
Series:Advances in Industrial Control,
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-4546-2
Table of Contents:
  • Introduction
  • Assessment Based on Minimum Variance Principles
  • User-specified Benchmarking
  • Advanced Control Performance Assessment
  • Deterministic Controller Assessment
  • Minimum Variance Assessment of Multivariable Control Systems
  • Selection of Key Factors and Parameters in Assessment Algorithms
  • Statistical Process Control
  • Detection of Oscillating Control Loops
  • Detection of Loop Non-linearities
  • Diagnosis of Stiction-related Actuator Problems
  • Complete Oscillation Diagnosis Based on Hammerstein Modelling
  • Performance Monitoring and Improvement Strategies
  • Controller Auto-Tuning Based on Control Performance Monitoring
  • Industrial CPM Technology and Applications
  • Performance Monitoring of Metal Processing Control Systems
  • Basic Signal Processing and Statistics
  • Higher-order Statistics
  • Control Loops from Different Industries.