Machinery Condition Monitoring Principles and Practices By Amiyar. Mohanty.
While teaching the subject of machinery fault diagnostics and signal processing, and conducting short courses for industry professionals for moreb than fifteen years to the senior year and graduate students at the Indian Institute of Technology, Kharagpur, I have always had a problem locating a single book on the subject. Though there are excellent research journals and trade magazines on the subject, I have failed to locate a book without bias toward the equipment used or process followed for detecting faults in machines in general, and rotating machines in particular. With this preamble I began to write this book, drawing on my experience with machinery condition monitoring while consulting for many industries in India and abroad over the last two decades.
In many of my fault-detection exercises in the industries where I have consulted, I have come across technicians and engineers who wonder what fast Fourier transform (FFT) is, and I have been provided with a table full of numbers and asked to find the fault in the machines. Many engineers in the field learn this subject from the technical brochure of the equipment they use, without understanding their limitations. They feel that since they have a piece of costly equipment at their disposal, they can detect and diagnose the fault in any machine. One of the purposes of this book is to eliminate such myths. No offense intended. There are many commercial software packages available in the market to do diagnostics, but with an understanding of the subject, an engineer can better appreciate the diagnostic routines, because garbage in is garbage out.
This book can be used as a textbook in universities for a forty-hour lecture class. Much of the material in this book has been time tested in my class at the Indian Institute of Technology Kharagpur. I have found MATLAB to be a very easy way to introduce students to the basics of signal processing, a very important component in machinery condition monitoring. A few MATLAB codes for signal processing are provided in this book.
Table Of Contents:
2. Principles of
3. Fundamentals of Machinery Vibration
5. Digital Signal Processing
7. Vibration Monitoring
8. Noise Monitoring
9. Electrical Machinery
11. Wear Debris Analysis
12. Other Methods in Condition Monitoring
13. Machine Tool Condition Monitoring
14. Engineering Failure Analysis
15. Case Studies
Details about the contents:
Various techniques of machinery maintenance are available today, and after a brief overview of the maintenance techniques in Chapter 2, I focus on the fundamentals of machinery vibration and rotor dynamics in Chapters 3 and 4. A majority of the condition monitoring techniques in the world involve monitoring machine vibrations. Signal processing is a very important component in diagnosing the fault in a machine. Thus Chapters 5 and 6 are focused on the basics of signal processing and instrumentation, which are essential for monitoring the health of machines. Discussions of the requirements of vibration monitoring and noise monitoring are presented in Chapters 7 and 8. Lately, motor current signature analysis has developed into one of the major techniques of fault detection in machines. For example, how does one monitor the condition of a submersible pump buried in the ground, where a vibration transducer cannot be mounted? Further, electric motors are used in a majority of situations in the industry as prime movers, so monitoring their condition is of paramount importance. Chapter 9 focuses on electrical machinery faults. Infrared temperature detection has emerged as a cheap and convenient way to detect hot spots, so Chapter 10 describes the thermography for condition monitoring. Chapters 11 and 12 discuss the techniques of wear debris analysis and some of the nondestructive test (NDT) techniques for condition monitoring like ultrasonics, radiography, and so on. In manufacturing industries, the information regarding a cutting tool, in particular when the tool should optimally be changed, is a matter of concern. Chapter 13 discusses machine tool condition monitoring. In spite of our best maintenance efforts, machines do fail for reasons beyond our control. After a machine fails, we are called to do a postmortem. So, I have added a chapter on engineering failure analysis (Chapter 14). In Chapter 15 I discuss several case studies, mostly on failure analysis, from my consulting experience. After going through all the earlier chapters, I sincerely hope that readers will be able to diagnose the faults in machines on their own. I have done my job if readers can do that. This book concludes with a bibliography for those interested in learning more about the subject, and a set of appendices on standards, balancing, misalignment wtechniques, and the use of MATLAB.
Machinery Condition Monitoring: Principles and Practices.
⏩Authors: Amiyar. Mohanty
⏩Edition: 1sr edition
⏩Publisher: CRC Press
⏩Puplication Date: 24 December 2014
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