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Noise and Vibration Analysis Signal Analysis and Experimental Procedures [Other digital carrier]

(University of Southern Denmark)
  • Formaat: Other digital carrier, 464 pages, kõrgus x laius x paksus: 250x176x30 mm, kaal: 942 g
  • Ilmumisaeg: 07-Jan-2011
  • Kirjastus: Wiley-Blackwell
  • ISBN-10: 0470978163
  • ISBN-13: 9780470978160
Noise and Vibration Analysis  Signal Analysis and Experimental Procedures
  • Formaat: Other digital carrier, 464 pages, kõrgus x laius x paksus: 250x176x30 mm, kaal: 942 g
  • Ilmumisaeg: 07-Jan-2011
  • Kirjastus: Wiley-Blackwell
  • ISBN-10: 0470978163
  • ISBN-13: 9780470978160
Noise and Vibration Analysis is a complete and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. It provides an invaluable, integrated guide for practicing engineers as well as a suitable introduction for students new to the topic of noise and vibration. Taking a practical learning approach, Brandt includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study.
  • Addresses the theory and application of signal analysis procedures as they are applied in modern instruments and software for noise and vibration analysis
  • Features numerous line diagrams and illustrations
  • Accompanied by a web site at www.wiley.com/go/brandt with numerous MATLAB tools and examples.

Noise and Vibration Analysis provides an excellent resource for researchers and engineers from automotive, aerospace, mechanical, or electronics industries who work with experimental or analytical vibration analysis and/or acoustics. It will also appeal to graduate students enrolled in vibration analysis, experimental structural dynamics, or applied signal analysis courses.

Noise and Vibration Analysis is a complete and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. It provides an invaluable, integrated guide for practicing engineers as well as a suitable introduction for students new to the topic of noise and vibration. Taking a practical learning approach, Brandt includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study.

  • Addresses the theory and application of signal analysis procedures as they are applied in modern instruments and software for noise and vibration analysis
  • Features numerous line diagrams and illustrations
  • Accompanied by a web site at www.wiley.com/go/brandt with numerous MATLAB tools and examples.

Noise and Vibration Analysis provides an excellent resource for researchers and engineers from automotive, aerospace, mechanical, or electronics industries who work with experimental or analytical vibration analysis and/or acoustics. It will also appeal to graduate students enrolled in vibration analysis, experimental structural dynamics, or applied signal analysis courses.

Arvustused

"Here he presents the material in a form that can serve as a textbook or supplement for a graduate or undergraduate course or as a handbook for engineers or researchers who measure and analyze acoustic or vibration signals." (Booknews, 1 June 2011

About the Author. Preface. Acknowledgements. List of Abbreviations.
Notation. 1 Introduction. 1.1 Noise and Vibration. 1.2 Noise and Vibration
Analysis. 1.3 Application Areas. 1.4 Analysis of Noise and Vibrations. 1.5
Standards. 1.6 Becoming a Noise and Vibration Analysis Expert. 2 Dynamic
Signals and Systems. 2.1 Introduction. 2.2 Periodic Signals. 2.3 Random
Signals. 2.4 Transient Signals. 2.5 RMS Value and Power. 2.6 Linear
Systems. 2.7 The Continuous Fourier Transform. 2.8
Chapter Summary. 2.9
Problems. References. 3 Time Data Analysis. 3.1 Introduction to Discrete
Signals. 3.2 The Sampling Theorem. 3.3 Filters. 3.4 Time Series Analysis.
3.5
Chapter Summary. 3.6 Problems. References. 4 Statistics and Random
Processes. 4.1 Introduction to the Use of Statistics. 4.2 Random Theory.
4.3 Statistical Methods. 4.4 Quality Assessment of Measured Signals. 4.5
Chapter Summary. 4.6 Problems. References. 5 Fundamental Mechanics. 5.1
Newton s Laws. 5.2 The Single Degree-of-freedom System (SDOF). 5.3
Alternative Quantities for Describing Motion. 5.4 Frequency Response Plot
Formats. 5.5 Determining Natural Frequency and Damping. 5.6 Rotating Mass.
5.7 Some Comments on Damping. 5.8 Models Based on SDOF Approximations. 5.9
The Two-degree-of-freedom System (2DOF). 5.10 The Tuned Damper. 5.11
Chapter Summary. 5.12 Problems. References. 6 Modal Analysis Theory. 6.1
Waves on a String. 6.2 Matrix Formulations. 6.3 Eigenvalues and
Eigenvectors. 6.4 Frequency Response of MDOF Systems. 6.5 Time Domain
Simulation of Forced Response. 6.6
Chapter Summary. 6.7 Problems.
References. 7 Transducers for Noise and Vibration Analysis. 7.1 The
Piezoelectric Effect. 7.2 The Charge Amplifier. 7.3 Transducers with
Built-In Impedance Converters, IEPE . 7.4 The Piezoelectric
Accelerometer. 7.5 The Piezoelectric Force Transducer. 7.6 The Impedance
Head. 7.7 The Impulse Hammer. 7.8 Accelerometer Calibration. 7.9
Measurement Microphones. 7.10 Microphone Calibration. 7.11 Shakers for
Structure Excitation. 7.12 Some Comments on Measurement Procedures. 7.13
Problems. References. 8 Frequency Analysis Theory. 8.1 Periodic Signals
The Fourier Series. 8.2 Spectra of Periodic Signals. 8.3 Random Processes.
8.4 Transient Signals. 8.5 Interpretation of spectra. 8.6
Chapter Summary.
8.7 Problems. References. 9 Experimental Frequency Analysis. 9.1
Frequency Analysis Principles. 9.2 Octave and Third-octave Band Spectra.
9.3 The Discrete Fourier Transform (DFT). 9.4
Chapter Summary. 9.5
Problems. References. 10 Spectrum and Correlation Estimates Using the DFT.
10.1 Averaging. 10.2 Spectrum Estimators for Periodic Signals. 10.3
Estimators for PSD and CSD. 10.4 Estimator for Correlation Functions. 10.5
Estimators for Transient Signals. 10.6 Spectrum Estimation in Practice.
10.7 Multi-channel Spectral Analysis. 10.8
Chapter Summary. 10.9 Problems.
References. 11 Measurement and Analysis Systems. 11.1 Principal Design.
11.2 Hardware for Noise and Vibration Analysis. 11.3 FFT Analysis Software.
11.4
Chapter Summary. 11.5 Problems. References. 12 Rotating Machinery
Analysis. 12.1 Vibrations in Rotating Machines. 12.2 Understanding Time
Frequency Analysis. 12.3 Rotational Speed Signals (Tachometer Signals).
12.4 RPM Maps. 12.5 Smearing. 12.6 Order Tracks. 12.7 Synchronous
Sampling. 12.8 Averaging Rotation-speed-dependent Signals. 12.9 Adding
Change in RMS with Time. 12.10 Parametric Methods. 12.11
Chapter Summary.
12.12 Problems. References. 13 Single-input Frequency Response
Measurements. 13.1 Linear Systems. 13.2 Determining Frequency Response
Experimentally. 13.3 Important Relationships for Linear Systems. 13.4 The
Coherence Function. 13.5 Errors in Determining the Frequency Response. 13.6
Coherent Output Power. 13.7 The Coherence Function in Practice. 13.8 Impact
Excitation. 13.9 Shaker Excitation. 13.10 Examples of FRF Estimation No
Extraneous Noise. 13.11 Example of FRF Estimation with Output Noise.
13.12 Examples of FRF Estimation with Input and Output Noise. 13.13
Chapter Summary. 13.14 Problems. References. 14 Multiple-input Frequency
Response Measurement. 14.1 Multiple-input Systems. 14.2 Conditioned Input
Signals. 14.3 Bias and Random Errors for Multiple-input Systems. 14.4
Excitation Signals for MIMO Analysis. 14.5 Data Synthesis and Simulation
Examples. 14.6 Real MIMO Data Case. 14.7
Chapter Summary. 14.8 Problems.
References. 15 Orthogonalization of Signals. 15.1 Principal Components.
15.2 Virtual Signals. 15.3 Noise Source Identification (NSI). 15.4
Chapter
Summary. 15.5 Problems. References. 16 Advanced Analysis Methods. 16.1
Shock Response Spectrum. 16.2 The Hilbert Transform. 16.3 Cepstrum
Analysis. 16.4 The Envelope Spectrum. 16.5 Creating Random Signals with
Known Spectral Density. 16.6 Operational Deflection Shapes ODS. 16.7
Introduction to Experimental Modal Analysis. 16.8
Chapter Summary. 16.9
Problems. References. Appendix A Complex Numbers. Appendix B Logarithmic
Diagrams. Appendix C Decibels. Appendix D Some Elementary Matrix Algebra.
Reference. Appendix E Eigenvalues and the SVD. E.1 Eigenvalues and Complex
Matrices. E.2 The Singular Value Decomposition (SVD). Reference. Appendix
F Organizations and Resources. Bibliography. Index.