Artificial Intelligence in Process Fault Diagnosis
eBook - ePub

Artificial Intelligence in Process Fault Diagnosis

Methods for Plant Surveillance

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence in Process Fault Diagnosis

Methods for Plant Surveillance

About this book

Artificial Intelligence in Process Fault Diagnosis

A comprehensive guide to the future of process fault diagnosis

Automation has revolutionized every aspect of industrial production, from the accumulation of raw materials to quality control inspections. Even process analysis itself has become subject to automated efficiencies, in the form of process fault analyzers, i.e., computer programs capable of analyzing process plant operations to identify faults, improve safety, and enhance productivity. Prohibitive cost and challenges of application have prevented widespread industry adoption of this technology, but recent advances in artificial intelligence promise to place these programs at the center of manufacturing process analysis.

Artificial Intelligence in Process Fault Diagnosis brings together insights from data science and machine learning to deliver an effective introduction to these advances and their potential applications. Balancing theory and practice, it walks readers through the process of choosing an ideal diagnostic methodology and the creation of intelligent computer programs. The result promises to place readers at the forefront of this revolution in manufacturing.

Artificial Intelligence in Process Fault Diagnosis readers will also find:

  • Coverage of various AI-based diagnostic methodologies elaborated by leading experts
  • Guidance for creating programs that can prevent catastrophic operating disasters, reduce downtime after emergency process shutdowns, and more
  • Comprehensive overview of optimized best practices

Artificial Intelligence in Process Fault Diagnosis is ideal for process control engineers, operating engineers working with processing industrial plants, and plant managers and operators throughout the various process industries.

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Yes, you can access Artificial Intelligence in Process Fault Diagnosis by Richard J. Fickelscherer in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Industrial & Technical Chemistry. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-AIChE
Year
2024
Print ISBN
9781119825890
eBook ISBN
9781119825913
Edition
1
Topic
Physical Sciences
Subtopic
Industrial & Technical Chemistry

Table of contents

  1. COVER
  2. TABLE OF CONTENTS
  3. TITLE PAGE
  4. COPYRIGHT PAGE
  5. DEDICATION
  6. LIST OF CONTRIBUTORS
  7. FOREWORD
  8. PREFACE
  9. ACKNOWLEDGMENTS
  10. 1 MOTIVATIONS FOR AUTOMATING PROCESS FAULT ANALYSIS
  11. 2 VARIOUS PROCESS FAULT DIAGNOSTIC METHODOLOGIES
  12. 2.A FAILURE MODES AND EFFECTS ANALYSIS
  13. 3 ALARM MANAGEMENT AND FAULT DETECTION
  14. 4 OPERATOR PERFORMANCE: SIMULATION AND AUTOMATION
  15. 5 AI AND ALARM ANALYTICS FOR FAILURE ANALYSIS AND PREVENTION
  16. 5.A PROCESS STATE TRANSITION LOGIC EMPLOYED BY THE ORIGINAL FMC FALCONEER KBS
  17. 5.B PROCESS STATE TRANSITION LOGIC AND ITS ROUTINE USE IN FALCONEERā„¢ IV
  18. 6 PROCESS FAULT DETECTION BASED ON TIMEā€EXPLICIT KIVIAT DIAGRAM
  19. 6.A VIRTUAL STATISTICAL PROCESS CONTROL ANALYSIS
  20. 7 SMART MANUFACTURING AND REALā€TIME CHEMICAL PROCESS HEALTH MONITORING AND DIAGNOSTIC LOCALIZATION
  21. 8 OPTIMAL QUANTITATIVE MODELā€BASED PROCESS FAULT DIAGNOSIS
  22. 8.A FALCONEERā„¢ IV FUZZY LOGIC ALGORITHM PSEUDOā€CODE
  23. 8.B MOME CONCLUSIONS
  24. 9 FAULT DETECTION USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
  25. 10 KNOWLEDGEā€BASED SYSTEMS
  26. 10.A COMPRESSOR TRIP PREDICTION
  27. 11 THE FALCON PROJECT
  28. 12 FAULT DIAGNOSTIC APPLICATION IMPLEMENTATION AND SUSTAINABILITY
  29. 13 PROCESS OPERATORS, ADVANCED PROCESS CONTROL, AND ARTIFICIAL INTELLIGENCEā€BASED APPLICATIONS IN THE CONTROL ROOM
  30. Index
  31. End User License Agreement