Machinery Condition Monitoring: Principles and Practices

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, and the technique to understand their conditions, this text presents every available method of machine fault detection, with a focus on rotating machines in particular.

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; motor current signature analysis to detect faults in rotating mechanical systems as well as thermography; the nondestructive test (NDT) techniques like ultrasonics and radiography; and additional methods. The author includes relevant case studies from his own experience spanning over the past 20 years and details 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.