Development of new sensors and digital processors has provided opportunity for identification of nonlinear systems. Vibration measurements have become standard for predicting and monitoring machinery in industry. Parameter identification and monitoring of mechanical systems under nonlinear vibration focusses on methods for the identification of nonlinearities in mechanical systems, giving description and examples of practical application. Chapters cover nonlinear dynamics; nonlinear vibrations; signal processing; parameter identification; application of signal processing to mechanical systems; practical experience and industrial applications; and synchronization of nonlinear systems.
- Covers the most recent advances in machinery monitoring
- Describes the basis for nonlinear dynamics
- Presents advantages of applying modern signal processing to mechanical systems
Muu info
The focus of this book is the methodologies for the identification of nonlinearities in mechanical systems, describing them and including their application to practical cases.
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ix | |
| About the author |
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xvii | |
| Introduction |
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1 | (18) |
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19 | (16) |
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20 | (1) |
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1.2 Single degree of freedom |
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21 | (7) |
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1.3 Multiple degrees of freedom |
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28 | (7) |
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35 | (20) |
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35 | (11) |
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46 | (3) |
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2.3 Self-excited vibrations |
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49 | (4) |
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53 | (2) |
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55 | (32) |
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56 | (2) |
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58 | (1) |
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59 | (4) |
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3.4 Short Time Fourier Transform (STFT) |
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63 | (7) |
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70 | (9) |
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3.6 Discrete Wavelet Transform |
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79 | (1) |
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80 | (3) |
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83 | (3) |
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86 | (1) |
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4 Parameter identification |
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87 | (20) |
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87 | (2) |
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89 | (10) |
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4.3 Frequency domain analysis |
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99 | (8) |
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5 Application of signal processing to mechanical systems |
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107 | (52) |
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108 | (1) |
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109 | (22) |
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131 | (16) |
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147 | (12) |
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6 Practical experience and industrial applications |
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159 | (18) |
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159 | (2) |
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161 | (8) |
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169 | (8) |
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7 Synchronization of nonlinear systems |
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177 | (18) |
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178 | (1) |
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179 | (2) |
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181 | (8) |
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7.4 Synchronization of nonlinear pendulums |
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189 | (6) |
| Bibliography |
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195 | (10) |
| Index |
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205 | |
Juan Carlos Jauregui is a Professor at the Universidad Autonoma de Queretaro, in Mexico, where he researches the design and dynamics of machinery. He obtained his PhD at the University of Wisconsin-Milwaukee. He has been responsible for the design of a large number of automatic, tailor-made industrial machines, and the development of monitoring systems based on vibration analysis. He is a member of ASME (the American Society of Mechanical Engineers), the Mexican Society of Mechanical Engineering, the Academy of Engineering (Mexico), IFToMM, and the National Research System, the most prestigious research evaluation program in Mexico. He has published over 70 papers in international journals, several chapters, and three books, including Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration, also published by Elsevier (in 2014). Along with Alejandro Lozano-Guzman, he pioneered the introduction to Mexico of monitoring systems based on vibration analysis.
