Robert Bond Randall

Vibration-based Condition Monitoring (eBook, PDF)

Industrial, Automotive and Aerospace Applications

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Wiley-Blackwell
• Erscheinungstermin: 13. Mai 2021
• Englisch
• ISBN-13: 9781119477693
• Artikelnr.: 61926110

Autorenporträt

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.

Inhaltsangabe

Chapter 1 Introduction and Background

1.1 Introduction

1.2 Maintenance strategies

1.3 Condition monitoring methods

1.3.1 Vibration analysis

1.3.2 Oil analysis

1.3.3 Performance analysis

1.3.4 Thermography

1.4 Types and benefits of vibration analysis

1.4.1 Benefits compared with other methods

1.4.2 Permanent vs intermittent monitoring

1.5 Vibration transducers

1.5.1 Absolute vs relative vibration measurement

1.5.2 Proximity probes

1.5.3 Velocity transducers

1.5.4 Accelerometers

1.5.5 Dual vibration probes

1.5.6 Laser vibrometers

1.6 Torsional vibration transducers

1.6.1 Shaft encoders

1.6.2 Torsional laser vibrometers

1.7 Condition monitoring - the basic problem

References

Chapter 2 Vibration Signals from Rotating and Reciprocating Machines

2.1 Signal classification

2.1.1 Stationary deterministic signals

2.1.2 Stationary random signals

2.1.3 Cyclostationary signals

2.1.4 Cyclo-non-stationary signals

2.2 Signals generated by rotating machines

2.2.1 Low shaft orders and subharmonics

2.2.2 Vibrations from gears

2.2.3 Rolling element bearings

2.2.4 Bladed machines

2.2.5 Electrical machines

2.3 Signals generated by reciprocating machines

2.3.1 Time-frequency diagrams

2.3.2 Torsional vibrations

References

Chapter 3 Basic signal processing techniques

3.1 Statistical measures

3.1.1 Probability and probability density

3.1.2 Moments and cumulants

3.2 Fourier analysis

3.2.1 Fourier series

3.2.2 Fourier integral transform

3.2.3 Sampled time signals

3.2.4 The discrete Fourier transform (DFT)

3.2.5 The fast Fourier transform (FFT)

3.2.6 Convolution and the convolution theorem

3.2.7 Zoom FFT

3.2.8 Practical FFT analysis and scaling

3.3 Hilbert transform and demodulation

3.3.1 Hilbert transform

3.3.2 Demodulation

3.4 Digital filtering

3.4.1 Realisation of digital filters

3.4.2 Comparison of digital filtering with FFT processing

3.5 Time/frequency analysis

3.5.1 The short time Fourier transform (STFT)

3.5.2 The Wigner-Ville distribution

3.5.3 Wavelet analysis

3.5.4 Empirical mode decomposition

3.6 Cyclostationary analysis and spectral correlation

3.6.1 Spectral correlation

3.6.2 Spectral correlation and envelope spectrum

3.6.3 Wigner-Ville spectrum

3.6.4 Cyclo-non-stationary analysis

References

Chapter 4 Fault Detection

4.1 Introduction

4.2 Rotating machines

4.2.1 Vibration criteria

4.2.2 Use of frequency spectra

4.2.3 CPB spectrum comparison

4.3 Reciprocating machines

4.3.1 Vibration criteria for reciprocating machines

4.3.2 Time/frequency diagrams

4.3.3 Torsional vibration

References

Chapter 5 Some special signal processing techniques

5.1 Order tracking

5.1.1 Comparison of methods

5.1.2 Computed order tracking(COT)

5.1.3 Phase demodulation based COT

5.1.4 COT over a wide speed range

5.2 Determination of instantaneous machine speed

5.2.1 Derivative of instantaneous phase

5.2.2 Teager Kaiser and other energy operators
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