VIBRATION-BASED CONDITION MONITORING -- Contents -- Foreword -- About the Author -- Preface -- 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 -- 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 -- 2.2 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 -- 3 Basic Signal Processing Techniques -- 3.1 Probability Distribution and Density -- 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 -- 3.2.5 The Fast Fourier Transform -- 3.2.6 Convolution and the Convolution Theorem -- 3.2.7 Zoom FFT -- 3.2.8 Practical FFT Analysis -- 3.3 Hilbert Transform and Demodulation -- 3.3.1 Hilbert Transform -- 3.3.2 Demodulation -- 3.4 Cepstrum Analysis.

3.4.1 Terminology and Definitions -- 3.4.2 Typical Applications of the Cepstrum -- 3.4.3 Practical Considerations with the Cepstrum -- 3.5 Digital Filtering -- 3.5.1 Realization of Digital Filters -- 3.6 Deterministic/Random Signal Separation -- 3.6.1 Order Tracking -- 3.6.2 Time Synchronous Averaging -- 3.6.3 Linear Prediction -- 3.6.4 Adaptive Noise Cancellation -- 3.6.5 Self-adaptive Noise Cancellation -- 3.6.6 Discrete/Random Separation DRS -- 3.7 Time-Frequency Analysis -- 3.7.1 The Short Time Fourier Transform -- 3.7.2 The Wigner-Ville Distribution -- 3.7.3 Wavelet Analysis -- 3.8 Cyclostationary Analysis and Spectral Correlation -- 3.8.1 Spectral Correlation -- 3.8.2 Spectral Correlation and Envelope Spectrum -- 3.8.3 Wigner-Ville Spectrum -- References -- 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 -- 5 Diagnostic Techniques -- 5.1 Harmonic and Sideband Cursors -- 5.1.1 Examples of Cursor Application -- 5.2 Minimum Entropy Deconvolution -- 5.3 Spectral Kurtosis and the Kurtogram -- 5.3.1 SK- Definition and Calculation -- 5.3.2 Use of SK as a Filter -- 5.3.3 The Kurtogram -- 5.4 Gear Diagnostics -- 5.4.1 Techniques Based on the TSA -- 5.4.2 Transmission Error as a Diagnostic Tool -- 5.4.3 Cepstrum Analysis -- 5.4.4 Separation of Spalls and Cracks -- 5.4.5 Diagnostics of Gears with Varying Speed and Load -- 5.5 Rolling Element Bearing Diagnostics -- 5.5.1 Signal Models for Bearing Faults -- 5.5.2 A Semi-automated Bearing Diagnostic Procedure -- 5.6 Reciprocating Machine and IC Engine Diagnostics -- 5.6.1 Time-Frequency Methods -- 5.6.2 Cylinder Pressure Identification.

References -- 6 Fault Trending and Prognostics -- 6.1 Introduction -- 6.2 Trend Analysis -- 6.2.1 Trending of Simple Parameters -- 6.2.2 Trending of 'Impulsiveness' -- 6.3 Determination of Spall Size in Bearings -- 6.4 Advanced Prognostics -- 6.4.1 Physics-Based Models -- 6.4.2 Data-Driven Models -- 6.4.3 Hybrid Models -- References -- Appendix: Exercises and Tutorial Questions -- A.1 Introduction and Background -- A.1.1 Exam Questions -- A.2 Vibration Signals from Machines -- A.2.1 Exam Questions -- A.3 Basic Signal Processing -- A.3.1 Tutorial and Exam Questions -- A.4 Fault Detection -- A.4.1 Tutorial and Exam Questions -- A.4.2 Assignment -- A.5 Diagnostic Techniques -- A.5.1 Tutorial and Exam Questions -- A.5.2 Assignments -- A.6 Prognostics -- A.6.1 Tutorial and Exam Questions -- Index.