Vibration-based Condition Moni - 2nd Edition by Robert Bond Randall (Hardcover)

About the Book

"Following on from the first edition, Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications, Second Edition, offers a complete and up-to-date discussion of the whole field of machine condition monitoring. This new edition has been updated in light of recent advances in the application, and now covers diagnostics of variable speed machines, including wind turbines, and new sections on the application of cepstrum analysis to separate forcing functions and structural modal properties (even for variable speed situations). Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications, Second Edition also includes coverage of simulation of faults in gears, bearings, and IC engines, and the use of simulated signals to train neural networks. A number of new methods are presented, including order tracking, determining instantaneous machine speed from the vibration response signal, and calculating the TKEO (Teager Kaiser Energy Operator) using Hilbert transform methods in the frequency domain. It is also accompanied by a website hosting solutions and data for assignments"--

Book Synopsis

Vibration-based Condition Monitoring

Stay up to date on the newest developments in machine condition monitoring with this brand-new resource from an industry leader

The newly revised Second Edition of Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications delivers a thorough update to the most complete discussion of the field of machine condition monitoring. The distinguished author offers readers new sections on diagnostics of variable speed machines, including wind turbines, as well as new material on the application of cepstrum analysis to the separation of forcing functions, structural model properties, and the simulation of machines and faults.

The book provides improved methods of order tracking based on phase demodulation of reference signals and new methods of determining instantaneous machine speed from the vibration response signal. Readers will also benefit from an insightful discussion of new methods of calculating the Teager Kaiser Energy Operator (TKEO) using Hilbert transform methods in the frequency domain.

With a renewed emphasis on the newly realized possibility of making virtual instruments, readers of Vibration-based Condition Monitoring will benefit from the wide variety of new and updated topics, like:

• A comprehensive introduction to machine condition monitoring, including maintenance strategies, condition monitoring methods, and an explanation of the basic problem of condition monitoring
• An exploration of vibration signals from rotating and reciprocating machines, including signal classification and torsional vibrations
• An examination of basic and newly developed signal processing techniques, including statistical measures, Fourier analysis, Hilbert transform and demodulation, and digital filtering, pointing out the considerable advantages of non-causal processing, since causal processing gives no benefit for condition monitoring
• A discussion of fault detection, diagnosis and prognosis in rotating and reciprocating machines, in particular new methods using fault simulation, since "big data" cannot provide sufficient data for late-stage fault development

Perfect for machine manufacturers who want to include a machine monitoring service with their product, Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications will also earn a place in university and research institute libraries where there is an interest in machine condition monitoring and diagnostics.

About the Author

Robert Bond Randall, is Emeritus Professor in the Mechanical and Manufacturing Engineering Department at the University of New South Wales in Australia. His research focus is on vibration analysis and signal processing applied to machine condition monitoring. He is the Chief Investigator for three Australian Research Council research grants since 2016 alone.