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9780849334221

The Hilbert-Huang Transform In Engineering

by Huang; Norden E.
  • ISBN13:

    9780849334221

  • ISBN10:

    0849334225

  • Format: Hardcover
  • Copyright: 2005-06-23
  • Publisher: CRC Press

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Summary

Data used to develop and confirm models suffer from several shortcomings: the total data is too limited, the data are non-stationary, and the data represent nonlinear processes. The Hilbert-Huang transform (HHT) is a relatively new method that has grown into a robust tool for data analysis and is ready for a wide variety of applications. This text presents the first thorough presentation of the formulation and application of the Hilbert-Huang Transform (HHT) in engineering. After an introduction and overview of recent advances, thirty leading international experts explore the use of the HHT in areas such as oceanography, nonlinear soil amplification, and non-stationary random processes. One chapter offers a comparative analysis between HHT wavelet and Fourier transforms, and another looks at the HHT applied to molecular dynamic simulations. The final chapter provides perspectives on the theory and practice of HHT and reviews applications in disciplines ranging from biomedical, chemical, and financial engineering to meteorology and seismology. The Hilbert-Huang Transform in Engineering features a variety of modern topics, and the examples presented include wide-ranging, real-life engineering problems. While the development of the HHT is not yet complete, this book clearly demonstrates the power and utility of the method and will undoubtedly stimulate further interest, theoretical advances, and innovative applications.

Table of Contents

Chapter 1 Introduction to Hilbert-Huang Transform and Some Recent Developments 1(24)
Norden E. Huang
1.1 Introduction
1(8)
1.2 The Hilbert-Huang Transform
9(7)
1.3 The Recent Developments
16(6)
1.3.1 The Normalized Hilbert Transform
16(3)
1.3.2 The Confidence Limit
19(2)
1.3.3 The Statistical Significance of IMFs
21(1)
1.4 Conclusion
22(1)
References
22(3)
Chapter 2 Carrier and Riding Wave Structure of Rogue Waves 25(34)
Torsten Schlurmann and Marcus Dätig
2.1 Introduction
26(1)
2.2 Rogue Wave Measurements
27(16)
2.2.1 Preliminaries
27(1)
2.2.2 Fourier-Based Spectral Analysis of Water Waves
28(1)
2.2.3 Power Spectral Densities
28(5)
2.2.4 Unwrapped Phase Spectra
33(3)
2.2.5 Time-Dependent Spectral Analysis
36(2)
2.2.6 Disintegrated Components
38(3)
2.2.7 Estimated Power Spectral Densities of Disintegrated Modes
41(2)
2.3 Relations Between Mean Period and Energy Density
43(11)
2.3.1 Motivation
43(1)
2.3.2 Characteristic Quantities
43(2)
2.3.3 Averaged Periods of IMF
45(2)
2.3.4 Interaction Between Energy Density and Averaged Periods
47(1)
2.3.5 Accordance with Theoretical Treatments
48(6)
2.4 Summary and Discussion
54(1)
Acknowledgments
55(1)
References
55(4)
Chapter 3 Applications of Hilbert-Huang Transform to Ocean-Atmosphere Remote Sensing Research 59(24)
Xiao-Hai Yan, Young-Heon Jo, Brian Dzwonkowski, and Lide Jiang
3.1 Introduction
60(2)
3.2 Analyses of TOPEX/Poseidon Sea Level Anomaly Interannual Variation Using HHT and EOF
62(2)
3.3 Application of HHT to Ocean Color Remote Sensing of the Delaware Bay
64(7)
3.4 Mediterranean Outflow and Meddies (O & M)from Satellite Multisensor Remote Sensing
71(7)
3.5 Conclusion
78(1)
Acknowledgments
79(1)
References
79(4)
Chapter 4 A Comparison of the Energy Flux Computation of Shoaling Waves Using Hilbert and Wavelet Spectral Analysis Techniques 83(14)
Paul A. Hwang, David W. Wang, and James M. Kaihatu
4.1 Introduction
84(1)
4.2 The Huang-Hilbert Spectral Analysis
84(1)
4.3 Shoaling Waves and Energy Flux Computation
85(6)
4.3.1 Field Measurement
85(3)
4.3.2 Numerical Simulations
88(3)
4.4 Discussions
91(3)
4.4.1 Resolution and Nonlinearity
91(2)
4.4.2 Edge Effect
93(1)
4.5 Summary
94(1)
Acknowledgments
94(1)
References
94(3)
Chapter 5 An Application of HHT Method to Nearshore Sea Waves 97(24)
Albena Dimitrova Veltcheva
5.1 Introduction
98(1)
5.2 Field Data
99(1)
5.3 Conventional Methods for Wave Data Analysis
100(6)
5.4 Hilbert-Huang Transform Method
106(2)
5.5 Application of the HHT Method
108(9)
5.5.1 Offshore Waves During Different Sea Stages
112(2)
5.5.2 Cross-Shore Transformation of Sea Waves
114(3)
5.6 Conclusions
117(1)
References
118(3)
Chapter 6 Transient Signal Detection Using the Empirical Mode Decomposition 121(20)
Michael L. Larsen, Jeffrey Ridgway, Cye H. Waldman, Michael Gabbay, Rodney R. Buntzen, and Brad Battista
6.1 Introduction
122(3)
6.2 Empirical Mode Decomposition
125(1)
6.3 EMD-Based Signal Processing
126(9)
6.4 Experimental Validation Using Towed-Source Signals
135(2)
6.5 Conclusion
137(1)
Acknowledgment
138(1)
References
138(3)
Chapter 7 Coherent Structures Analysis in Turbulent Open Channel Flow Using Hilbert-Huang and Wavelets Transforms 141(18)
Athanasios Zeris and Panayotis Prinos
7.1 Introduction
142(1)
7.2 Results
143(7)
7.2.1 Academic Signals
143(1)
7.2.2 Turbulent Signals
143(1)
7.2.3 Coherent Structures
143(7)
7.3 Conclusions
150(6)
References
156(3)
Chapter 8 An HHT-Based Approach to Quantify Nonlinear Soil Amplification and Damping 159(32)
Ray Ruichong Zhang
8.1 Introduction
160(1)
8.2 Symptoms of Soil Nonlinearity
161(1)
8.3 Fourier-Based Approach for Characterizing Nonlinearity
162(4)
8.4 HHT-Based Approach for Characterizing Nonlinearity
166(6)
8.5 Applications to 2001 Nisqually Earthquake Data
172(13)
8.5.1 Detection of Nonlinear Soil Sites
173(3)
8.5.2 HHT-Based Factor of Site Amplification
176(2)
8.5.3 Influences of Window Length of Data
178(2)
8.5.4 Comparison of HHT- and Fourier-Based Factors for Site Amplification
180(4)
8.5.5 HHT-Based Factor for Site Damping
184(1)
8.6 Concluding Remarks and Discussion
185(2)
Acknowledgments
187(1)
References
187(4)
Chapter 9 Simulation of Nonstationary Random Processes Using Instantaneous Frequency and Amplitude from Hilbert-Huang Transform 191(22)
Ping Gu and Y. Kwei Wen
9.1 Introduction
191(3)
9.2 Hilbert-Huang Transform (HHT)
194(3)
9.3 IMF Recombination Method
197(3)
9.4 Improved Wen-Yeh Method
200(3)
9.5 Conclusions
203(4)
Acknowledgments
207(1)
References
207(2)
Appendix: Relation between Hilbert Marginal Spectrum and Fourier Energy Spectrum
209(4)
Chapter 10 Comparison of Hilbert-Huang, Wavelet, and Fourier Transforms for Selected Applications 213(32)
Ser-Tong Quek, Puat-Siong Tua, and Quan Wang
10.1 Introduction
214(1)
10.2 Hilbert-Huang Transform
215(1)
10.3 Applications of HHT, WT, and FT to Experimental Data
216(20)
10.3.1 Locating Crack in Aluminum Beam Using HHT
216(3)
10.3.2 Detection of Edges in Aluminum Plate
219(3)
10.3.3 Determination of Modal Frequencies of Aluminum Beam
222(14)
10.4 Concluding Remarks
236(3)
Acknowledgments
239(4)
References
243(2)
Chapter 11 The Analysis of Molecular Dynamics Simulations by the Hilbert-Huang Transform 245(22)
Adrian P. Wiley, Robert J. Gledhill, Stephen C. Phillips, Martin T. Swain, Colin M. Edge, and Jonathan W. Essex
11.1 Introduction
246(3)
11.2 The Hilbert-Huang Transform
249(2)
11.3 Molecular Dynamics
251(3)
11.4 Reversible Digitally Filtered Molecular Dynamics
254(8)
11.5 Limitations
262(1)
11.6 Conclusions
262(1)
References
263(4)
Chapter 12 Decomposition of Wave Groups with EMD Method 267(14)
Wei Wang
12.1 Introduction
267(2)
12.2 Decomposition of Intermittent Small-Scale Fluctuations from the Large Wave
269(3)
12.3 Method for Decomposing Wave Groups
272(2)
12.4 Validations
274(6)
12.5 Conclusions
280(1)
References
280(1)
Chapter 13 Perspectives on the Theory and Practices of the Hilbert-Huang Transform 281(26)
Nii O. Attoh-Okine
13.1 Introduction
282(1)
13.2 Basic Ideas
282(7)
13.2.1 The Hilbert-Huang Transform
282(6)
13.2.2 Starting Point
288(1)
13.3 Current Applications
289(8)
13.3.1 Biomedical Applications
289(1)
13.3.2 Chemistry and Chemical Engineering
289(1)
13.3.3 Financial Applications
290(1)
13.3.4 Meteorological and Atmospheric Applications
290(1)
13.3.5 Ocean Engineering
291(1)
13.3.6 Seismic Studies
292(3)
13.3.7 Structural Applications
295(1)
13.3.8 Health Monitoring
296(1)
13.3.9 System Identification
296(1)
13.4 Some Limitations
297(1)
13.5 Potential Future Research
298(1)
References
299(3)
Addendum: Perspectives on the Theory and Practices of the Hilbert-Huang Transform
302(2)
13A.1 Analytical
302(1)
13A.2 Hybrid Method
302(1)
13A.3 Bidimensional EMD
303(1)
13A.4 Some Observations
304(1)
References
304(3)
Index 307

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