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 Technische wetenschappen Technische wetenschappen algemeen
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## € 116.95

• Written by a world authority in this field, the book provides systematic, organized, and helpful instruction for a highly complex, densely mathematical subject, making this is an excellent and accessible guide for graduate students and practitioners in civil, mechanical and aerospace engineering.

Taal / Language : English

Inhoudsopgave:
 Part A: Exercises
 1.Introduction
 1_1: System excited by periodic input
 1_2: System excited by a transient input
 Solutions and summaries
 2.Signals
 2_1: Signal types and parameters
 2_2: Energy and power of signals
 2_3: Random signals- the concept of realization
 2_4: Non stationary signal: temporal changes versus variability`s.
 Solutions and summaries
 3.Fourier methods
 3_1: Fourier Series decomposition
 3_2: Convergence of the Fourier Series
 3_3: Fourier decomposition of experimental data
 3_4: Decomposition of modulated signals
 3_5: Fourier Transform
 3_6: The uncertainty theorem
 3_7: The Fourier Transform of power signals
 3_8: Relation between a transient and its periodic extension.
 3_9:The FFT- interaction between N,Ttotal and Dt
 3_10: DFT for various signal classes
 3_11: Extension of the DFT for number of elements >N.
 3_12: The effect non integer number of periods in the analysis window
 Solutions and summaries
 4. Linear systems
 4_1: Continuous and Discrete Systems
 4_2: Dynamic response of an accelerometer
 4_3:Transient and noise response comparison for 2 accelerometers
 Solutions and summaries
 5.Filters
 5_1:Introduction : response, performance and filter order
 5_2: Filtering of some specific signals
 5_3: Linear and non-linear phase filters
 5_4: The Running average filter
 Solutions and summaries
 6. Time domain (synchronous ) averages
 6_1: Signal extraction capabilities
 6_2:Filtering properties
 6_3: The attenuation og harmonic disturbamce
 6_4: The effect and detection of jitter
 Solutions and summaries
 7. Spectral Analysis
 7_1a: Engineering units.
 7_1b:Random and harmonic signals-the choice of engineering units
 7_2: Leakage and windows
 7_3:Separation of close signal components
 7_4:Leakage and the dynamic range of spectra
 7_5: Zero padding and the uncertainty theorem.
 7_6: Random signal analysis and bias errors
 7_7:Random signal analysis and random errors
 7_8: Error mechanisms for constant duration signals
 7_9: Spectral analysis and correlation functions
 Solutions and summaries
 8. Envelopes
 8_1:Spectral analysis of envelopes
 Solutions and summaries
 9. The spectrogram:
 9_1: Time frequency description
 9_2: Analysis of specific signals, choice of analysis parameters
 Solutions and summaries
.
 10. Data acquisition
 10_1: Quantization error for a sinusoidal signal
 10_2: Quantization error of a measured transient, dynamic ranges of systems
 10_3:The aliasing effect and the resultant spectrum
 10_4: Aliasing and the dynamic response of the anti-aliasing filter
 Solutions and summaries
 11. Identification- transfer functions
 11_1:Random excitation- bias errors traceable to insufficient resolution
 11_2: Random excitation-bias errors traceable to delay
 11_3:Bias errors traceable to measurement noise
 11_4:Measurement noise- the choice of H estimator
 Solutions and summaries
 12. Introduction to Model based signal processing
 12_1: Model based spectral analysis
 12_2: Detection of changes
 12_3: Model order and over determination
 Solutions and summaries
 13. Diagnostic application for rotating machinery
 13-1:Enhancing of bearing vibration signature
 13_2: Analysis of bearing vibrations
 13_3: Analysis of gear vibrations
 13_4:The effect of structures on vibration spectra of bearings and gears
 13_5: 3D analysis of vibrations during start up
 Solutions and summaries
 14. Systems incorporating delays
 14_1: Acoustic waves in a closed pipe
 14-4: Identification of delays by Cross correlation analysis
 14_3: Detection of echoes by Cepstrum analysis
 Solutions and summaries
 Part B: Theoretical background
 1.Introduction
 1.1 General objectives
 1.2 Basic processing
 1.3 Why the frequency domain?
 1.4 An introductory example
 2.Signals
 2.1 Signal Classification
 2.2 Signal Descriptions
 2.3 Correlation functions
 2.3 Correlation functions
 3.Fourier methods
 3.1 Fourier Series
 3.2 Fourier (Integral) Transform
 3.3 The uncertainty principle
 3.4 The Discrete Fourier Transform DFT
 3.5 The DFT and Fast Fourier Transform (FFT)
 3.6 Discontinuities and windows
 4. Linear systems
 4.1 Continuous systems:
 4.2 Discrete systems
 4.3 A specific case of a continuous linear systems
 Appendix 4: Slightly damped SDOF system
 5.Filters
 5.1 Preliminaries
 5.2 : Analog and Digital Filters
 5.3 : Filter classification and specifications 5.4 IIR filters
 5.5 FIR filters
 5.6 The importance of Linear phase filters
 5.7 Design tools
 6. Time Domain (Synchronous) Averaging
 6.1 Principle
 6.2 Rejection of non-synchronous components
 6.3 TDA with decaying memory process
 7.Spectral Analysis
 7.1 Introduction
 7.2 Representation of signals in the frequency domain
 7.3. Errors and their control
 7.4 Spectral analysis, practical consideration
 8. The Envelope
 8.1 Introduction
 8.2 The Hilbert Transform (HT)
 8.4 Narrow Band (NB) signals and their envelope
 9.The Spectogram
 9-1- Introduction
 9-2-Time frequency methods
 9.3 The Short Time Fourier Transform (STFT) and the Spectogram
 10 Data acquisition
 10.1 Data acquisition and Signal Processing systems
 10.2 Amplitude quantization
 10.3 Quantization in time the sampling theorem
 10.4 Anti-aliasing filters
 11. Identification- Transfer Functions
 11.1. Objectives and overview
 11.2 Frequency Domain Identification, the noiseless case
 11.3. Identification with noise corrupted signals
 11.4. Error mechanisms and their control in the identification process
 11.5 Estimation errors for the Coherence function
 12. Introduction to Model based signal processing 12.1 General 12.2 Signal models 12.3. Modeling of signals
 12.4. Model based spectral analysis
 12.5 Model or selection
 12.6 Model based diagnostics
 Appendix 12 The correlation matrix
 13. Diagnostic applications for rotating machinery
 13.1 Diagnostics and rotating machinery
 13.2 Structural effects
 13.3 Rotating unbalance
 13.4 Modeling of roller bearing vibration signals;
 13.5 Bearing vibrations: structural effects and envelopes
 13.4 Modelling of gears vibration signals
 14. Delays
 14.1 System with pure delays
 14.2 Correlation functions
 14.3 Cepstral analysis
Extra informatie:
Hardback
366 pagina's
Januari 2008
794 gram
248 x 178 x 25 mm
Wiley-Blackwell

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 Levertijd: 5 tot 11 werkdagen

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