Condition Monitoring with Vibration Signals : Compressive Sampling and Learning Algorithms for Rotating Machines.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nandi, Asoke K.
Otros Autores: Ahmed, Hosameldin
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2019.
Temas:
Machinery > Monitoring.
Machines > Surveillance.
Machinery > Monitoring
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title Page; Copyright; Contents; Preface; About the Authors; List of Abbreviations; Part I Introduction; Chapter 1 Introduction to Machine Condition Monitoring; 1.1 Background; 1.2 Maintenance Approaches for Rotating Machines Failures; 1.2.1 Corrective Maintenance; 1.2.2 Preventive Maintenance; 1.2.2.1 Time-Based Maintenance (TBM); 1.2.2.2 Condition-Based Maintenance (CBM); 1.3 Applications of MCM; 1.3.1 Wind Turbines; 1.3.2 Oil and Gas; 1.3.3 Aerospace and Defence Industry; 1.3.4 Automotive; 1.3.5 Marine Engines; 1.3.6 Locomotives; 1.4 Condition Monitoring Techniques
  • 1.4.1 Vibration Monitoring1.4.2 Acoustic Emission; 1.4.3 Fusion of Vibration and Acoustic; 1.4.4 Motor Current Monitoring; 1.4.5 Oil Analysis and Lubrication Monitoring; 1.4.6 Thermography; 1.4.7 Visual Inspection; 1.4.8 Performance Monitoring; 1.4.9 Trend Monitoring; 1.5 Topic Overview and Scope of the Book; 1.6 Summary; References; Chapter 2 Principles of Rotating Machine Vibration Signals; 2.1 Introduction; 2.2 Machine Vibration Principles; 2.3 Sources of Rotating Machines Vibration Signals; 2.3.1 Rotor Mass Unbalance; 2.3.2 Misalignment; 2.3.3 Cracked Shafts
  • 2.3.4 Rolling Element Bearings2.3.5 Gears; 2.4 Types of Vibration Signals; 2.4.1 Stationary; 2.4.2 Nonstationary; 2.5 Vibration Signal Acquisition; 2.5.1 Displacement Transducers; 2.5.2 Velocity Transducers; 2.5.3 Accelerometers; 2.6 Advantages and Limitations of Vibration Signal Monitoring; 2.7 Summary; References; Part II Vibration Signal Analysis Techniques; Chapter 3 Time Domain Analysis; 3.1 Introduction; 3.1.1 Visual Inspection; 3.1.2 Features-Based Inspection; 3.2 Statistical Functions; 3.2.1 Peak Amplitude; 3.2.2 Mean Amplitude; 3.2.3 Root Mean Square Amplitude
  • 3.2.4 Peak-to-Peak Amplitude3.2.5 Crest Factor (CF); 3.2.6 Variance and Standard Deviation; 3.2.7 Standard Error; 3.2.8 Zero Crossing; 3.2.9 Wavelength; 3.2.10 Willison Amplitude; 3.2.11 Slope Sign Change; 3.2.12 Impulse Factor; 3.2.13 Margin Factor; 3.2.14 Shape Factor; 3.2.15 Clearance Factor; 3.2.16 Skewness; 3.2.17 Kurtosis; 3.2.18 Higher-Order Cumulants (HOCs); 3.2.19 Histograms; 3.2.20 Normal/Weibull Negative Log-Likelihood Value; 3.2.21 Entropy; 3.3 Time Synchronous Averaging; 3.3.1 TSA Signals; 3.3.2 Residual Signal (RES); 3.3.2.1 NA4; 3.3.2.2 NA4*; 3.3.3 Difference Signal (DIFS)
  • 3.3.3.1 FM43.3.3.2 M6A; 3.3.3.3 M8A; 3.4 Time Series Regressive Models; 3.4.1 AR Model; 3.4.2 MA Model; 3.4.3 ARMA Model; 3.4.4 ARIMA Model; 3.5 Filter-Based Methods; 3.5.1 Demodulation; 3.5.2 Prony Model; 3.5.3 Adaptive Noise Cancellation (ANC); 3.6 Stochastic Parameter Techniques; 3.7 Blind Source Separation (BSS); 3.8 Summary; References; Chapter 4 Frequency Domain Analysis; 4.1 Introduction; 4.2 Fourier Analysis; 4.2.1 Fourier Series; 4.2.2 Discrete Fourier Transform; 4.2.3 Fast Fourier Transform (FFT); 4.3 Envelope Analysis; 4.4 Frequency Spectrum Statistical Features

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