Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications

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9780470747858: Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications
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"Without doubt the best modern and up-to-date text on thetopic, wirtten by one of the world leading experts in the field.Should be on the desk of any practitioner or researcher involved inthe field of Machine Condition Monitoring" Simon Braun,Israel Institute of Technology

Explaining complex ideas in an easy to understand way,Vibration-based Condition Monitoring provides a comprehensivesurvey of the application of vibration analysis to the conditionmonitoring of machines. Reflecting the natural progression of thesesystems by presenting the fundamental material and then moving ontodetection, diagnosis and prognosis, Randall presents classic andstate-of-the-art research results that cover vibration signals fromrotating and reciprocating machines; basic signal processingtechniques; fault detection; diagnostic techniques, andprognostics.

Developed out of notes for a course in machine conditionmonitoring given by Robert Bond Randall over ten years at theUniversity of New South Wales, Vibration-based ConditionMonitoring: Industrial, Aerospace and Automotive Applications isessential reading for graduate and postgraduate students/researchers in machine condition monitoring and diagnostics as wellas condition monitoring practitioners and machine manufacturers whowant to include a machine monitoring service with theirproduct.

  • Includes a number of exercises for each chapter, many based onMatlab, to illustrate basic points as well as to facilitate the useof the book as a textbook for courses in the topic.
  • Accompanied by a website www.wiley.com/go/randall housingexercises along with data sets and implementation code in Matlabfor some of the methods as well as other pedagogical aids.
  • Authored by an internationally recognised authority in the areaof condition monitoring.

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Explaining complex ideas in an easy to understand way,Vibration-based Condition Monitoring provides a comprehensivesurvey of the application of vibration analysis to the conditionmonitoring of machines. Reflecting the natural progression of thesesystems by presenting the fundamental material and then moving ontodetection, diagnosis and prognosis, Randall presents classic andstate-of-the-art research results that cover vibration signals fromrotating and reciprocating machines; basic signal processingtechniques; fault detection; diagnostic techniques, andprognostics.

Developed out of notes for a course in machine conditionmonitoring given by Robert Bond Randall over ten years at theUniversity of New South Wales, Vibration-based ConditionMonitoring: Industrial, Aerospace and Automotive Applications isessential reading for graduate and postgraduate students/researchers in machine condition monitoring and diagnostics as wellas condition monitoring practitioners and machine manufacturers whowant to include a machine monitoring service with theirproduct.

  • Includes a number of exercises for each chapter, many based onMatlab to illustrate basic points as well as to facilitate the useof the book as a textbook for courses in the topic.
  • Accompanied by a website www.wiley.com/go/randall housingexercises along with data sets and implementation code in Matlabfor some of the methods as well as other pedagogical aids.
  • Authored by an internationally recognised authority in the areaof condition monitoring.

About the Author:

Robert Bond Randall, University of New South Wales, Australia.
Having had a long career in industry, for the most part with Brüel & Kjær, Robert (Bob) Randall moved to academia in 1988 and is now a Visiting Emeritus Professor at the University of New South Wales.
He currently serves as editor of the journal Mechanical Systems and Signal Processing, and has authored 2 books, published by Brüel & Kjær, Frequency Analysis and Mechanical Vibration and Shock Measurements. He is a global leader in the field of vibration analysis and signal processing applied to machine condition monitoring.

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