rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Detection and Diagnosis of Stiction in Control Loops
    sub title: State of the Art and Advanced Methods
  name:
    name part: Jelali, Mohieddine.
    role:
      role term: editor.
  name:
    name part: Huang, Biao.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXX, 391 p. online resource.
  abstract: The presence of non-linearities, such as stiction and deadband, places limits on the performance of control valves. Indeed, in the process industries, stiction is the most common valve problem, and over the last decade numerous different techniques for overcoming it have been proposed. Detection and Diagnosis of Stiction in Control Loops represents a comprehensive presentation of these methods, including their principles, assumptions, strengths and drawbacks. Guidelines and working procedures are provided for the implementation of each method and MATLAB®-based software can be downloaded from www.ualberta.ca/~bhuang/stiction-book enabling readers to apply the methods to their own data. Methods for the limitation of stiction effects are proposed within the general context of: • oscillation detection in control loops; • stiction detection and diagnosis; and • stiction quantification and diagnosis of multiple faults. The state-of-the-art algorithms presented in this book are demonstrated and compared in industrial case studies of diverse origin – chemicals, building, mining, pulp and paper, mineral and metal processing. Industry-based engineers will find the book to be valuable guidance in increasing the performance of their control loops while academic researchers and graduate students interested in control performance and fault detection will discover a wealth of static-friction-related research and useful algorithms.
  table of contents: Stiction Modelling and Oscillation Detection -- Stiction Modelling -- An Alternative Stiction-modelling Approach and Comparison of Different Stiction Models -- Detection of Oscillating Control Loops -- Advances in Stiction Detection and Quantification -- Shape-based Stiction Detection -- Stiction Detection Based on Cross-correlation and Signal Shape -- Curve Fitting for Detecting Valve Stiction -- A Relay-based Technique for Detection of Stiction -- Shape-based Stiction Detection Using Area Calculations -- Estimation of Valve Stiction Using Separable Least-squares and Global Search Algorithms -- Stiction Estimation Using Constrained Optimisation and Contour Map -- Oscillation Root-cause Detection and Quantification Under Multiple Faults -- Comparative Study of Valve-stiction-detection Methods -- Conclusions and Future Research Challenges.
  note: edited by Mohieddine Jelali, Biao Huang.
  subject:
    topic: Engineering
  subject:
    topic: Chemical engineering
  subject:
    topic: Fluid mechanics
  subject:
    topic: Automotive engineering
  subject:
    topic: Control engineering
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Industrial Chemistry/Chemical Engineering
  subject:
    topic: Industrial and Production Engineering
  subject:
    topic: Engineering Fluid Dynamics
  subject:
    topic: Automotive Engineering
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Industrial Control
  identifier: 9781848827752
  identifier: http://dx.doi.org/10.1007/978-1-84882-775-2
  record info:
    record creation date: 100301
    record change date: 20151204172646.0
    record identifier: 978-1-84882-775-2