Intelligent Condition Based Monitoring

For Turbines, Compressors, and Other Rotating Machines

  • Nishchal K. Verma
  • Al Salour

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 256)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Nishchal K. Verma, Al Salour
    Pages 1-5
  3. Nishchal K. Verma, Al Salour
    Pages 7-88
  4. Nishchal K. Verma, Al Salour
    Pages 89-120
  5. Nishchal K. Verma, Al Salour
    Pages 121-173
  6. Nishchal K. Verma, Al Salour
    Pages 175-200
  7. Nishchal K. Verma, Al Salour
    Pages 201-224
  8. Nishchal K. Verma, Al Salour
    Pages 225-266
  9. Nishchal K. Verma, Al Salour
    Pages 267-281
  10. Nishchal K. Verma, Al Salour
    Pages 283-302

About this book


This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational intelligence and fuzzy control principles to deliver a module that can adaptively monitor and optimize machine health and performance. This book covers design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything from optimal sensor positioning to fault diagnosis. The principles laid out in this book can be applied across rotating machinery such as turbines, compressors, and aircraft engines. The adaptive fault diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace, automotive, deep earth and deep water exploration, and energy.




Intelligent Condition Based Monitoring Condition Based monitoring Fault Diagnosis Rotary Machines Model Based Fault Diagnosis Machine Health Monitoring Feature Extraction Rotating Machine Selection Rotating Machine Classification Smartphone Based Condition Monitoring

Authors and affiliations

  • Nishchal K. Verma
    • 1
  • Al Salour
    • 2
  1. 1.Department of Electrical Engineering and Inter-disciplinary Program in Cognitive ScienceIndian Institute of Technology KanpurKanpurIndia
  2. 2.Boeing Research and TechnologySaint LouisUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-15-0511-9
  • Online ISBN 978-981-15-0512-6
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site