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Diagnosis of Process Nonlinearities and Valve Stiction

Data Driven Approaches

  • Shoukat M. A. A. Choudhury
  • Sirish L. Shah
  • Nina F. Thornhill

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages I-XXII
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 1-14
  3. Higher-Order Statistics

    1. Front Matter
      Pages 15-15
    2. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 17-28
    3. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 29-41
  4. Data Quality – Compression and Quantization

    1. Front Matter
      Pages 43-43
    2. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 45-65
  5. Nonlinearity and Control Performance

    1. Front Matter
      Pages 67-67
    2. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 69-75
    3. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 77-91
    4. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 93-110
    5. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 111-121
    6. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 123-134
  6. Control Valve Stiction~– Definition, Modelling, Detection and Quantification

    1. Front Matter
      Pages 135-135
    2. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 137-141
    3. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 143-151
    4. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 153-160
    5. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 161-171
    6. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 173-180
    7. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 181-204
    8. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 205-215
    9. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 217-226
  7. Plant-wide Oscillations – Detection and Diagnosis

    1. Front Matter
      Pages 227-227
    2. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 229-251
    3. Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
      Pages 253-272
  8. Back Matter
    Pages 273-284

About this book

Introduction

In this book, Higher Order Statistical (HOS) theory is used to develop indices for detecting and quantifying signal non-Gaussianity and nonlinearity. These indices, together with specific patterns in the mapping of process output and controller output are used to diagnose the causes of poor control loop performance.

Often valve stiction is the main cause of poor control performance. A generalized definition of valve stiction based on the investigation of real plant data is proposed. A simple data-driven model of valve stiction is developed. The model is simple, yet powerful enough to properly simulate the complex valve stiction phenomena. Both open and closed loop results have been presented and validated to show the capability of the model.

Conventional invasive methods such as the valve travel test can detect stiction easily. However, they are expensive, time consuming and tedious to use for examining thousands of valves in a typical process industry. A non-invasive method that can simultaneously detect and quantify control valve stiction is presented. The method requires only routine operating data from the process. Over a dozen industrial case studies have demonstrated the wide applicability and practicality of this method.

In chemical industrial practice, data are often compressed for archival purposes, using various techniques. Compression degrades data quality and induces nonlinearity in the data. The issues of data quality degradation and nonlinearity induction due to compression are investigated in this book. An automatic method for detection and quantification of the compression present in the archived data is discussed. Compelling and quantitative analyses have been recommended to end the practice of process data compression.

Keywords

Compression Diagnose Higher Order Statistics Stiction Valves control linearity modeling nonlinearity quality signal processing

Authors and affiliations

  • Shoukat M. A. A. Choudhury
    • 1
  • Sirish L. Shah
    • 2
  • Nina F. Thornhill
    • 3
  1. 1.Department of Chemical EngineeringBangladesh University of Engineering and Technology (BUET)Dhaka-1000Bangladesh
  2. 2.Department Chemical&Materials EngineeringUniversity of AlbertaCanada
  3. 3.Department of Chemical EngineeringImperial College LondonSouth Kensington CampusLondon

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-79224-6
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-79223-9
  • Online ISBN 978-3-540-79224-6
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site