Noise and vibration analysis : signal analysis and experimental procedures /
"Noise and Vibration Analysis adopts a practical learning approach, building upon two existing class-note type books that have been used by the author for 10 years of teaching two academic courses"--
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Chichester ; Hoboken, N.J. :
Wiley,
2011.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
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| 100 | 1 | |a Brandt, Anders. | |
| 245 | 1 | 0 | |a Noise and vibration analysis : |b signal analysis and experimental procedures / |c Anders Brandt. |
| 260 | |a Chichester ; |a Hoboken, N.J. : |b Wiley, |c 2011. | ||
| 300 | |a 1 online resource (xix, 438 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |6 880-01 |a Front Matter -- Introduction -- Dynamic Signals and Systems -- Time Data Analysis -- Statistics and Random Processes -- Fundamental Mechanics -- Modal Analysis Theory -- Transducers for Noise and Vibration Analysis -- Frequency Analysis Theory -- Experimental Frequency Analysis -- Spectrum and Correlation Estimates Using the DFT -- Measurement and Analysis Systems -- Rotating Machinery Analysis -- Single-Input Frequency Response Measurements -- Multiple-Input Frequency Response Measurement -- Orthogonalization of Signals -- Advanced Analysis Methods -- Appendix A: Complex Numbers -- Appendix B: Logarithmic Diagrams -- Appendix C: Decibels -- Appendix D: Some Elementary Matrix Algebra -- Appendix E: Eigenvalues and the SVD -- Appendix F: Organizations and Resources -- Bibliography -- Index. | |
| 520 | |a "Noise and Vibration Analysis adopts a practical learning approach, building upon two existing class-note type books that have been used by the author for 10 years of teaching two academic courses"-- |c Provided by publisher | ||
| 546 | |a English. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Vibration |x Mathematical models. | |
| 650 | 0 | |a Noise |x Mathematical models. | |
| 650 | 0 | |a Acoustical engineering. | |
| 650 | 0 | |a Stochastic analysis. | |
| 650 | 0 | |a Signal processing. | |
| 758 | |i has work: |a Noise and Vibration Analysis [electronic resource] (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3QMXHQWfRd3yfx8kjFmMP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Brandt, Anders. |t Noise and vibration analysis. |d Chichester ; Hoboken, N.J. : Wiley, 2011 |z 9780470746448 |w (DLC) 2010039788 |w (OCoLC)664324149 |
| 852 | |b Online |h ProQuest | ||
| 856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/emmanuel/detail.action?docID=792461 |z Full text (Emmanuel users only) |t 0 |
| 880 | 0 | 0 | |6 505-01/(S |g Machine generated contents note: |g 1. |t Introduction -- |g 1.1. |t Noise and Vibration -- |g 1.2. |t Noise and Vibration Analysis -- |g 1.3. |t Application Areas -- |g 1.4. |t Analysis of Noise and Vibrations -- |g 1.4.1. |t Experimental Analysis -- |g 1.5. |t Standards -- |g 1.6. |t Becoming a Noise and Vibration Analysis Expert -- |g 1.6.1. |t Virtue of Simulation -- |g 1.6.2. |t Learning Tools and the Format of this Book -- |g 2. |t Dynamic Signals and Systems -- |g 2.1. |t Introduction -- |g 2.2. |t Periodic Signals -- |g 2.2.1. |t Sine Waves -- |g 2.2.2. |t Complex Sines -- |g 2.2.3. |t Interacting Sines -- |g 2.2.4. |t Orthogonality of Sines -- |g 2.3. |t Random Signals -- |g 2.4. |t Transient Signals -- |g 2.5. |t RMS Value and Power -- |g 2.6. |t Linear Systems -- |g 2.6.1. |t Laplace Transform -- |g 2.6.2. |t Transfer Function -- |g 2.6.3. |t Impulse Response -- |g 2.6.4. |t Convolution -- |g 2.7. |t Continuous Fourier Transform -- |g 2.7.1. |t Characteristics of the Fourier Transform -- |g 2.7.2. |t Frequency Response -- |g 2.7.3. |t Relationship between the Laplace and Frequency Domains -- |g 2.7.4. |t Transient versus Steady-state Response -- |g 2.8. |t Chapter Summary -- |g 2.9. |t Problems -- |t References -- |g 3. |t Time Data Analysis -- |g 3.1. |t Introduction to Discrete Signals -- |g 3.2. |t Sampling Theorem -- |g 3.2.1. |t Aliasing -- |g 3.2.2. |t Discrete Representation of Analog Signals -- |g 3.2.3. |t Interpolation and Resampling -- |g 3.3. |t Filters -- |g 3.3.1. |t Analog Filters -- |g 3.3.2. |t Digital Filters -- |g 3.3.3. |t Smoothing Filters -- |g 3.3.4. |t Acoustic Octave Filters -- |g 3.3.5. |t Analog RMS Integration -- |g 3.3.6. |t Frequency Weighting Filters -- |g 3.4. |t Time Series Analysi -- |g 3.4.1. |t Min- and Max-analysis -- |g 3.4.2. |t Time Data Integration -- |g 3.4.3. |t Time Data Differentiation -- |g 3.4.4. |t FFT-based Processing -- |g 3.5. |t Chapter Summary -- |g 3.6. |t Problems -- |t References -- |g 4. |t Statistics and Random Processes -- |g 4.1. |t Introduction to the Use of Statistics -- |g 4.1.1. |t Ensemble and Time Averages -- |g 4.1.2. |t Stationarity and Ergodicity -- |g 4.2. |t Random Theory -- |g 4.2.1. |t Expected Value -- |g 4.2.2. |t Errors in Estimates -- |g 4.2.3. |t Probability Distribution -- |g 4.2.4. |t Probability Density -- |g 4.2.5. |t Histogram -- |g 4.2.6. |t Sample Probability Density Estimate -- |g 4.2.7. |t Average Value and Variance -- |g 4.2.8. |t Central Moments -- |g 4.2.9. |t Skewness -- |g 4.2.10. |t Kurtosis -- |g 4.2.11. |t Crest Factor -- |g 4.2.12. |t Correlation Functions -- |g 4.2.13. |t Gaussian Probability Distribution -- |g 4.3. |t Statistical Methods -- |g 4.3.1. |t Hypothesis Tests -- |g 4.3.2. |t Test of Normality -- |g 4.3.3. |t Test of Stationarity -- |g 4.4. |t Quality Assessment of Measured Signals -- |g 4.5. |t Chapter Summary -- |g 4.6. |t Problems -- |t References -- |g 5. |t Fundamental Mechanics -- |g 5.1. |t Newton's Laws -- |g 5.2. |t Single Degree-of-freedom System (SDOF) -- |g 5.2.1. |t Transfer Function -- |g 5.2.2. |t Impulse Response -- |g 5.2.3. |t Frequency Response -- |g 5.2.4. |t Q-factor -- |g 5.2.5. |t SDOF Forced Response -- |g 5.3. |t Alternative Quantities for Describing Motion -- |g 5.4. |t Frequency Response Plot Formats -- |g 5.4.1. |t Magnitude and Phase -- |g 5.4.2. |t Real and Imaginary Parts -- |g 5.4.3. |t Nyquist Plot -- Imaginary vs. Real Part -- |g 5.5. |t Determining Natural Frequency and Damping -- |g 5.5.1. |t Peak in the Magnitude of FRF -- |g 5.5.2. |t Peak in the Imaginary Part of FRF -- |g 5.5.3. |t Resonance Bandwidth (3 dB Bandwidth) -- |g 5.5.4. |t Circle in the Nyquist Plot -- |g 5.6. |t Rotating Mass -- |g 5.7. |t Some Comments on Damping -- |g 5.7.1. |t Hysteretic Damping -- |g 5.8. |t Models Based on SDOF Approximations -- |g 5.8.1. |t Vibration Isolation -- |g 5.8.2. |t Resonance Frequency and Stiffness Approximations -- |g 5.9. |t Two-degree-of-freedom System (2DOF) -- |g 5.10. |t Tuned Damper -- |g 5.11. |t Chapter Summary -- |g 5.12. |t Problems -- |t References -- |g 6. |t Modal Analysis Theory -- |g 6.1. |t Waves on a String -- |g 6.2. |t Matrix Formulations -- |g 6.2.1. |t Degree-of-freedom -- |g 6.3. |t Eigenvalues and Eigenvectors -- |g 6.3.1. |t Undamped System -- |g 6.3.2. |t Mode Shape Orthogonality -- |g 6.3.3. |t Modal Coordinates -- |g 6.3.4. |t Proportional Damping -- |g 6.3.5. |t General Damping -- |g 6.4. |t Frequency Response of MDOF Systems -- |g 6.4.1. |t Frequency Response from [M], [C], [K] -- |g 6.4.2. |t Frequency Response from Modal Parameters -- |g 6.4.3. |t Frequency Response from [M], [K], and ε -- Modal Damping -- |g 6.4.4. |t Mode Shape Scaling -- |g 6.4.5. |t Effect of Node Lines on FRFs -- |g 6.4.6. |t Antiresonance -- |g 6.4.7. |t Impulse Response of MDOF Systems -- |g 6.5. |t Time Domain Simulation of Forced Response -- |g 6.6. |t Chapter Summary -- |g 6.7. |t Problems -- |t References -- |g 7. |t Transducers for Noise and Vibration Analysis -- |g 7.1. |t Piezoelectric Effect -- |g 7.2. |t Charge Amplifier -- |g 7.3. |t Transducers with Built-In Impedance Converters, ÌEPE' -- |g 7.3.1. |t Low-frequency Characteristics -- |g 7.3.2. |t High-frequency Characteristics -- |g 7.3.3. |t Transducer Electronic Data Sheet, TEDS -- |g 7.4. |t Piezoelectric Accelerometer -- |g 7.4.1. |t Frequency Characteristics -- |g 7.4.2. |t Mounting Accelerometers -- |g 7.4.3. |t Electrical Noise -- |g 7.4.4. |t Choosing an Accelerometer -- |g 7.5. |t Piezoelectric Force Transducer -- |g 7.6. |t Impedance Head -- |g 7.7. |t Impulse Hammer -- |g 7.8. |t Accelerometer Calibration -- |g 7.9. |t Measurement Microphones -- |g 7.10. |t Microphone Calibration -- |g 7.11. |t Shakers for Structure Excitation -- |g 7.12. |t Some Comments on Measurement Procedures -- |g 7.13. |t Problems -- |t References -- |g 8. |t Frequency Analysis Theory -- |g 8.1. |t Periodic Signals -- The Fourier Series -- |g 8.2. |t Spectra of Periodic Signals -- |g 8.2.1. |t Frequency and Time -- |g 8.3. |t Random Processes -- |g 8.3.1. |t Spectra of Random Processes -- |g 8.4. |t Transient Signals -- |g 8.5. |t Interpretation of spectra -- |g 8.6. |t Chapter Summary -- |g 8.7. |t Problems -- |t References -- |g 9. |t Experimental Frequency Analysis -- |g 9.1. |t Frequency Analysis Principles -- |g 9.1.1. |t Nonparametric Frequency Analysis -- |g 9.2. |t Octave and Third-octave Band Spectra -- |g 9.2.1. |t Time Constants -- |g 9.2.2. |t Real-time versus Serial Measurements -- |g 9.3. |t Discrete Fourier Transform (DFT) -- |g 9.3.1. |t Fast Fourier Transform, FFT -- |g 9.3.2. |t DFT in Short -- |g 9.3.3. |t Basis of the DFT -- |g 9.3.4. |t Periodicity of the DFT -- |g 9.3.5. |t Properties of the DFT -- |g 9.3.6. |t Relation between DFT and Continuous Spectrum -- |g 9.3.7. |t Leakage -- |g 9.3.8. |t Picket-fence Effect -- |g 9.3.9. |t Time Windows for Periodic Signals -- |g 9.3.10. |t Time Windows for Random Signals -- |g 9.3.11. |t Oversampling in FFT Analysis -- |g 9.3.12. |t Circular Convolution and Aliasing -- |g 9.3.13. |t Zero Padding -- |g 9.3.14. |t Zoom FFT -- |g 9.4. |t Chapter Summary -- |g 9.5. |t Problems -- |t References -- |g 10. |t Spectrum and Correlation Estimates Using the DFT -- |g 10.1. |t Averaging -- |g 10.2. |t Spectrum Estimators for Periodic Signals -- |g 10.2.1. |t Autopower Spectrum -- |g 10.2.2. |t Linear Spectrum -- |g 10.2.3. |t Phase Spectrum -- |g 10.3. |t Estimators for PSD and CSD -- |g 10.3.1. |t Periodogram -- |g 10.3.2. |t Welch's Method -- |g 10.3.3. |t Window Correction for Welch Estimates -- |g 10.3.4. |t Bias Error in Welch Estimates -- |g 10.3.5. |t Random Error in Welch Estimates -- |g 10.3.6. |t Smoothed Periodogram Estimator -- |g 10.3.7. |t Bias Error in Smoothed Periodogram Estimates -- |g 10.3.8. |t Random Error in Smoothed Periodogram Estimates -- |g 10.4. |t Estimator for Correlation Functions -- |g 10.5. |t Estimator for Transient Signals -- |g 10.5.1. |t Windows for Transient Signals -- |g 10.6. |t Spectrum Estimation in Practice -- |g 10.6.1. |t Linear Spectrum Versus PSD -- |g 10.6.2. |t Example of a Spectrum of a Periodic Signal -- |g 10.6.3. |t Practical PSD Estimation -- |g 10.6.4. |t Spectrum of Mixed Property Signal -- |g 10.6.5. |t Calculating RMS Values in Practice -- |g 10.6.6. |t RMS From Linear Spectrum of Periodic Signal -- |g 10.6.7. |t RMS from PSD -- |g 10.6.8. |t Weighted RMS Values -- |g 10.6.9. |t Integration and Differentiation in the Frequency Domain -- |g 10.7. |t Multi-channel Spectral Analysis -- |g 10.7.1. |t Matrix Notation for MIMO Spectral Analysis -- |g 10.7.2. |t Arranging Spectral Matrices in MATLAB/Octav -- |g 10.8. |t Chapter Summary -- |g 10.9. |t Problems -- |t References -- |g 11. |t Measurement and Analysis Systems -- |g 11.1. |t Principal Design -- |g 11.2. |t Hardware for Noise and Vibration Analysis -- |g 11.2.1. |t Signal Conditioning -- |g 11.2.2. |t Analog-to-digital Conversion, ADC -- |g 11.2.3. |t Practical Issues -- |g 11.2.4. |t Hardware Specifications -- |g 11.2.5. |t Transient (Shock) Recording -- |g 11.3. |t FFT Analysis Software -- |g 11.3.1. |t Block Processing -- |g 11.3.2. |t Data Scaling -- |g 11.3.3. |t Triggering -- |g 11.3.4. |t Averaging -- |g 11.3.5. |t FFT Setup Parameters -- |g 11.4. |t Chapter Summary -- |g 11.5. |t Problems -- |t References -- |g 12. |t Rotating Machinery Analysis -- |g 12.1. |t Vibrations in Rotating Machines -- |g 12.2. |t Understanding Time-Frequency Analysis -- |g 12.3. |t Rotational Speed Signals (Tachometer Signals) -- |g 12.4. |t RPM Maps -- |g 12.4.1. |t Waterfall Plot -- |g 12.4.2. |t Color Map Plot -- |g 12.5. |t Smearing -- |g 12.6. |t Order Tracks -- |g 12.7. |t Synchronous Sampling -- |g 12.7.1. |t DFT Parameters after Resampling -- |g 12.8. |t Averaging Rotation-speed-dependent Signals -- |g 12.9. |t Adding Change in RMS with Time -- |g 12.10. |t Parametric Methods -- |g 12.11. |t Chapter Summary -- |g 12.12. |t Problems -- |t References -- |g 13. |t Single-input Frequency Response Measurements -- |g 13.1. |t Linear Systems -- |g 13.2. |t Determining Frequency Response Experimentally -- |g 13.2.1. |t Method 1 -- the H1 Estimator -- |g 13.2.2. |t Method 2 -- the H2 Estimator -- |g 13.2.3. |t Method 3 -- the Hc Estimator -- |g 13.3. |t Important Relationships for Linear Systems -- |g 13.4. |t Coherence Function -- |g 13.5. |t Errors in Determining the Frequency Response -- |g 13.5.1. |t Bias Error in FRF Estimates -- |g 13.5.2. |t Random Error in FRF Estimates -- |g 13.5.3. |t Bias and Random Error Trade-offs -- |g 13.6. |t Coherent Output Power -- |g 13.7. |t Coherence Function in Practice -- |g 13.7.1. |t Non-random Excitation -- |g 13.8. |t Impact Excitation -- |g 13.8.1. |t Force Signal. |
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