File Name: an introduction to random vibrations and spectral analysis .zip
- An Introduction to Random Vibrations, Spectral & Wavelet Analysis: Third Edition
- Random Vibration and Spectral Analysis
- An Introduction to Random Vibrations, Spectral & Wavelet Analysis: Third Edition
- An introduction to random vibrations, spectral and wavelet analysis
Random Vibration Analysis In Ansys Random vibration analysis is usually performed over a large range of frequencies — from 20 to 2, Hz, for example.
An Introduction to Random Vibrations, Spectral & Wavelet Analysis: Third Edition
This Dover edition, first published in , is an unabridged republication of the printing of the third edition of the work originally published by Longman, London and New York, in Appendix 1 - Table of integrals used in the calculation of mean square response Chapter 7. The importance of random vibrations has increased in recent years. Whereas ten years ago undergraduate courses in engineering and applied science barely mentioned the subject, now a well-educated engineer needs at least some familiarity with the concepts and methods involved.
Furthermore the applications of random process theory extend far beyond traditional engineering fields. Because of this growing importance, the theory of random vibrations is now being introduced to undergraduate students, and the methods of measurement and analysis are being increasingly used in research laboratories and in industry.
This book has two main objectives: first, to introduce the fundamental ideas of random vibrations, and, secondly, to deal in some depth with digital spectral analysis, which involves the measurement and analysis of random vibrations. Chapters 1 to 9, which take up about half the book, try to meet the first objective and provide the background for an introduction to the subject at undergraduate level. Chapters 10, 11 and 12 are then more specialized and cover digital spectral analysis and the fast Fourier transform.
They deal in detail with the application of discrete Fourier transforms to the analysis of sampled data. The emphasis is on the so-called direct method of spectrum estimation based on the FFT fast Fourier transform and the approximations involved in this method are discussed at length.
The last two chapters of the book deal with the properties of pseudo-random processes and a variety of more specialized subjects including the measurement and applications of coherence functions and a brief introduction to the analysis of nonstationary processes. An important feature of the book is the set of carefully selected problems and answers; most of these have been specially prepared to illustrate points in the text.
They serve the dual purpose of allowing readers to test their understanding while at the same time allowing the author to include alternative developments of the theory and different applications which could not otherwise have been discussed because of lack of space.
Although there is a good deal of mathematics, this has been kept as simple as a reasonably complete treatment of the subject allows.
The knowledge assumed is limited to that normally possessed by final year undergraduates in the applied sciences, and no additional statistical background is required. This slightly restricts the mathematical scope of the book, but the text is supported by references to more specialized books and to the original literature where appropriate, and mathematically minded readers can pursue these sources if they wish.
The author will be pleased to hear from readers who spot errors and misprints, or who find points where amplification is desirable or see other ways of improving the book. All such suggestions will be gratefully received and most carefully studied. For the second edition, two additional chapters have been added. Chapter 15 introduces multi-dimensional random processes and discusses multi-dimensional spectral analysis in detail.
This is important when a random process depends on more than one independent variable. For example, the height of the sea depends on time and on position. The logic of the multi-dimensional discrete Fourier transform is explained and Appendix 2 now contains a two-dimensional DFT program as well as the original one-dimensional FFT program, which it uses.
Chapter 16 extends the previous theory to the random vibration of a continuous linear system subjected to distributed random excitation. This introduces a specialized but growing field of random vibration analysis.
A new section on the Weibull distribution of peaks has been added to Chapter 14 and a number of other small additions made. The computer programs in Appendix 2 are now listed in both Fortran and Basic languages. Readers with suitable mini-computers will be able to use the latter programs for some of the exercises. Because HP-enhanced Basic has been used, some modifications may be necessary for computers using other versions of Basic, but it is hoped that this will not present serious difficulties.
As before, the author will be glad to hear from readers and will be most grateful for the notification of errors and for suggestions for improvement. Since completing the second edition in , the most important development in signal analysis has been the wavelet transform.
This overcomes a fundamental disadvantage of the Fourier transform. When applied to non-stationary processes, the Fourier transform gives frequency data averaged over the record length being analysed. The local position of particular features is lost.
In contrast, wavelet analysis allows a general function of time to be decomposed into a series of orthogonal basis functions, called wavelets, of different lengths and different positions along the time axis. A particular feature can be located from the positions of the wavelets into which it is decomposed.
Results of the wavelet transform can be presented in the form of a contour map in the frequency-time plane. This display, which has been compared to the way that notes are shown on a musical score, allows the changing spectral composition of non-stationary signals to be measured and compared. Therefore it has seemed desirable to add a chapter on the wavelet transform with three objectives: i to include enough of the basic theory of wavelet analysis to establish the background for practical calculations; ii to explain how the discrete wavelet transform DWT works; iii to indicate some of the potential applications of the DWT.
In addition it has been necessary to prepare computer programs for the DWT and its inverse, and for a two-dimensional DWT and inverse, and also for displaying their results. Although the program listings will not be usable by readers without MATLAB, the program logic is fully described in Chapter 17, and it is possible for readers who wish to recode the listings given in the language of their choice. This edition includes all the material in the second edition subject to minor editing and corrections together with the following additions: a new section for Chapter 14 on local spectral density calculations; an extensive new Chapter 17, Discrete wavelet analysis; a new Appendix 7 with computer programs for wavelet analysis; and a set of supporting problems for Chapter The program listings in Appendix 7 allow readers to make their own wavelet calculations, just as readers can use the programs in Appendix 2 to make their own spectral analysis calculations.
To recognize the importance of wavelet analysis in the overall scope of the new book, it has been decided to change the title from Random Vibrations and Spectral Analysis to Random Vibrations, Spectral and Wavelet Analysis. Although wavelets have been studied widely in the mathematical world, their application to vibration analysis is still new. The DWT provides an important procedure for analysing non-stationary vibration records, and it is hoped that this third edition will help vibration practitioners to understand and use the wavelet transform.
As for the earlier editions, the author would be glad to hear from readers with corrections and suggestions for improvement. During the early s I had the privilege of working with Professor J. Den Hartog and Professor Stephen H. Crandall at the Massachusetts Institute of Technology. My professional interest in vibrations dates from that period and it is a pleasure to acknowledge my debt to both these famous teachers.
Crandall and W. Mark Academic Press, has been a valuable reference during preparation of the first half of the present book. I have been most fortunate to have had the untiring assistance of my father-in-law, Philip Mayne, M. Beginning with the first hand-written draft, he has read every page, checked every formula and worked out every problem.
Serious readers will appreciate the enthusiasm needed to undertake such a task and the resolution needed to pursue it to a conclusion. As a result of his help I have made many corrections and alterations to the original manuscript and I believe that many obscurities have been removed. I am more than grateful.
Completion of the manuscript coincided with a visit to Sheffield by Professor Philip G. Again I have been pleased to incorporate many of the changes suggested. I am also indebted to my colleague Dr H. Kohler, who provided information and advice on a wide range of topics, and to Professor R. Bishop, who reviewed the manuscript for Longman and gave encouragement at a critical stage.
My publishers have always been enthusiastic and I would like to thank them for the patience and care with which this book has been prepared for publication.
Lastly I must mention my secretary, Elaine Ibbotson, who toiled painstakingly with successive drafts, cheerfully accepting my determination to alter every section after, but never before, it had been typed. Only an author who has written a book in his spare time knows the tremendous extra demands that this inevitably places on those nearest to him.
Without the support and understanding of my wife and family this work could not have been brought to completion. During the preparation of the second edition, I have been glad to have had the help of my doctoral research student David Cebon, formerly of Melbourne University.
He has read and commented on the two new chapters and tested the Fortran version of the new computer program. A first draft of the new chapters was used as lecture notes at a short course at Monash University in and this allowed a number of errors and misprints to be identified. Professor J. Crisp organized this course and I am very glad to have had that opportunity to try out the new material for the second edition.
I am grateful also for discussions at Monash with Professor W. Melbourne, as a result of which I decided to add a section on the Weibull distribution of peaks to Chapter I have been encouraged by the comments I have received from readers of the first edition.
The author and publishers are indebted to the following for permission to reproduce copyright material; the McGraw-Hill Book Company for Fig. In preparing the new chapter on wavelets for this edition, I have studied many papers on the mathematics of wavelets. Many colleagues have helped in various ways, but I would like to mention particularly Dr Bill Fitzgerald who suggested key publications and commented on a first draft of Chapter 17, and Mrs Margaret Margereson who word-processed the text with care and good humour.
My thanks are due to both of them. There would not have been time to prepare this new edition without the opportunity afforded by sabbatical leave from the furious pace of university teaching, research and administration in the s. I am grateful to Cambridge University for that opportunity. The principal symbols in chapters 1 to 14 are defined below with, where appropriate, reference to the chapter or equation in which each symbol first appears. A system is vibrating if it is shaking or trembling or moving backwards and forwards in some way.
If this motion is unpredictable then the system is said to be in random vibration. For instance the motion of a leaf fluttering in the breeze is unpredictable. However the rate and amount of movement of the leaf are dependent not only on the severity of the wind excitation, but also on the mass, stiffness and inherent damping in the leaf system.
The subject of random vibrations is concerned with finding out how the statistical or average characteristics of the motion of a randomly excited system, like a leaf, depend on the statistics of the excitation, in that case the wind, and the dynamic properties of the vibrating system, in that case the mass, stiffness and damping of the leaf system.
Figure 1. The displacement x from an arbitrary datum is plotted as a function of time t. The best we can do is to find the chance, or probability , that x at t o will lie within certain limits. The subject of probability is therefore at the heart of random vibration theory and we begin by considering some of the fundamental ideas of probability theory.
Suppose, first, that we are dealing with a time history which is non-random or deterministic and is, in fact, a sine wave, Fig. In this case we can exactly predict the value of x for any given value of t. We can therefore calculate the proportion of time that the waveform spends between any two levels of x.
With reference to Fig. For any complete number of cycles, equation 1. Since x t is a deterministic sine wave, as soon as we specify t 0, we immediately know x t0. But suppose that t 0 is not precisely specified.
Random Vibration and Spectral Analysis
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This Dover edition, first published in , is an unabridged republication of the printing of the third edition of the work originally published by Longman, London and New York, in Appendix 1 - Table of integrals used in the calculation of mean square response Chapter 7. The importance of random vibrations has increased in recent years. Whereas ten years ago undergraduate courses in engineering and applied science barely mentioned the subject, now a well-educated engineer needs at least some familiarity with the concepts and methods involved. Furthermore the applications of random process theory extend far beyond traditional engineering fields. Because of this growing importance, the theory of random vibrations is now being introduced to undergraduate students, and the methods of measurement and analysis are being increasingly used in research laboratories and in industry. This book has two main objectives: first, to introduce the fundamental ideas of random vibrations, and, secondly, to deal in some depth with digital spectral analysis, which involves the measurement and analysis of random vibrations.
Introduction to Random Vibrations, Spectral. and. Wavelet Analysis, 3rd. ed.,. by D. E. Newland. Wiley,. New. York,. ,. Paperbound,.
An Introduction to Random Vibrations, Spectral & Wavelet Analysis: Third Edition
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An introduction to random vibrations, spectral and wavelet analysis
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