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Explaining complex ideas in an easy to understand way, Vibration-based Condition Monitoring provides a comprehensive survey of the application of vibration analysis to the condition monitoring of machines....
Explaining complex ideas in an easy to understand way, Vibration-based Condition Monitoring provides a comprehensive survey of the application of vibration analysis to the condition monitoring of machines. Reflecting the natural progression of these systems by presenting the fundamental material and then moving onto detection, diagnosis and prognosis, Randall presents classic and state-of-the-art research results that cover vibration signals from rotating and reciprocating machines; basic signal processing techniques; fault detection; diagnostic techniques, and prognostics.
Developed out of notes for a course in machine condition monitoring given by Robert Bond Randall over ten years at the University of New South Wales, Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications is essential reading for graduate and postgraduate students/ researchers in machine condition monitoring and diagnostics as well as condition monitoring practitioners and machine manufacturers who want to include a machine monitoring service with their product.
About the Author.
1 Introduction and Background.
1.2 Maintenance Strategies.
1.3 Condition Monitoring Methods.
1.4 Types and Benefits of Vibration Analysis.
1.5 Vibration Transducers.
1.6 Torsional Vibration Transducers.
1.7 Condition Monitoring – the Basic Problem.
2 Vibration Signals from Rotating and Reciprocating Machines.
2.1 Signal Classification.
2.2 Signals Generated by Rotating Machines.
2.3 Signals Generated by Reciprocating Machines.
3 Basic Signal Processing Techniques.
3.1 Probability Distribution and Density.
3.2 Fourier Analysis.
3.3 Hilbert Transform and Demodulation.
3.4 Cepstrum Analysis.
3.5 Digital Filtering.
3.6 Deterministic/Random Signal Separation.
3.7 Time–Frequency Analysis.
3.8 Cyclostationary Analysis and Spectral Correlation.
4 Fault Detection.
4.2 Rotating Machines.
4.3 Reciprocating Machines.
5 Diagnostic Techniques.
5.1 Harmonic and Sideband Cursors.
5.2 Minimum Entropy Deconvolution.
5.3 Spectral Kurtosis and the Kurtogram.
5.4 Gear Diagnostics.
5.5 Rolling Element Bearing Diagnostics.
5.6 Reciprocating Machine and IC Engine Diagnostics.
6 Fault Trending and Prognostics.
6.2 Trend Analysis.
6.3 Determination of Spall Size in Bearings.
6.4 Advanced Prognostics.
Appendix: Exercises and Tutorial Questions.
A.1 Introduction and Background.
A.2 Vibration Signals from Machines.
A.3 Basic Signal Processing.
A.4 Fault Detection.
A.5 Diagnostic Techniques.