Machinery Condition Monitoring
eBook - PDF

Machinery Condition Monitoring

Principles and Practices

  1. 282 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Machinery Condition Monitoring

Principles and Practices

About this book

Find the Fault in the Machines- Drawing on the author's more than two decades of experience with machinery condition monitoring and consulting for industries in India and abroad, Machinery Condition Monitoring: Principles and Practices introduces the practicing engineer to the techniques used to effectively detect and diagnose faults in machines. Providing the working principle behind the instruments, the important elements of machines as well as the technique to understand their conditions, this text presents every available method of machine fault detection occurring in machines in general, and rotating machines in particular.

A Single-Source Solution for Practice Machinery Conditioning Monitoring- Since vibration is one of the most widely used fault detection techniques, the book offers an assessment of vibration analysis and rotor-dynamics. It also covers the techniques of wear and debris analysis, and motor current signature analysis to detect faults in rotating mechanical systems as well as thermography, the nondestructive test NDT techniques (ultrasonics and radiography), and additional methods. The author includes relevant case studies from his own experience spanning over the past 20 years, and detailing practical fault diagnosis exercises involving various industries ranging from steel and cement plants to gas turbine driven frigates. While mathematics is kept to a minimum, he also provides worked examples and MATLAB® codes.

This book contains 15 chapters and provides topical information that includes:

  • A brief overview of the maintenance techniques
  • Fundamentals of machinery vibration and rotor dynamics
  • Basics of signal processing and instrumentation, which are essential for monitoring the health of machines
  • Requirements of vibration monitoring and noise monitoring
  • Electrical machinery faults
  • Thermography for condition monitoring
  • Techniques of wear debris analysis and some of the nondestructive test (NDT) techniques for condition monitoring like ultrasonics and radiography
  • Machine tool condition monitoring
  • Engineering failure analysis
  • Several case studies, mostly on failure analysis, from the author's consulting experience

Machinery Condition Monitoring: Principles and Practices presents the latest techniques in fault diagnosis and prognosis, provides many real-life practical examples, and empowers you to diagnose the faults in machines all on your own.

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Yes, you can access Machinery Condition Monitoring by Amiya Ranjan Mohanty in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Mechanics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2014
eBook ISBN
9781466593053
Edition
1
Topic
Physical Sciences
Subtopic
Mechanics

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Acknowledgments
  5. About the Author
  6. Chapter 1: Introduction
  7. Chapter 2: Principles of Maintenance
  8. Chapter 3: Fundamentals of Machinery Vibration
  9. Chapter 4: Rotordynamics
  10. Chapter 5: Digital Signal Processing
  11. Chapter 6: Instrumentation
  12. Chapter 7: Vibration Monitoring
  13. Chapter 8: Noise Monitoring
  14. Chapter 9: Electrical Machinery Faults
  15. Chapter 10: Thermography
  16. Chapter 11: Wear Debris Analysis
  17. Chapter 12: Other Methods in Condition Monitoring
  18. Chapter 13: Machine Tool Condition Monitoring
  19. Chapter 14: Engineering Failure Analysis
  20. Chapter 15: Case Studies
  21. Bibliography
  22. Appendix A1: Vibration-Based Machinery Fault Identification
  23. Appendix A2: Vibration Severity Levels
  24. Appendix A3: Field Balancing Techniques
  25. Appendix A4: In Situ Alignment by Reverse Indicator Method
  26. Appendix A5: MATLAB® Programs for Basic Signal Processing
  27. Appendix A6: International Standards on Machinery Condition Monitoring
  28. Back Cover