Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration
Woodhead Publishing Ltd (Verlag)
978-1-78242-165-8 (ISBN)
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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.
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.
Dedication
List of figures
About the author
Introduction
Abstract
Dynamics
1: Linear vibrations
Abstract
1.1 Introduction
1.2 Single degree of freedom
1.3 Multiple degrees of freedom
2: Nonlinear vibrations
Abstract
2.1 Introduction
2.2 Jump phenomena
2.3 Self-excited vibrations
3: Signal processing
Abstract
3.1 Introduction
3.2 Convolution theorem
3.3 Fourier Transform
3.4 Short Time Fourier Transform (STFT)
3.5 Wavelet Transform
3.6 Discrete Wavelet Transform
3.7 Phase diagram
3.8 Approximate entropy
4: Parameter identification
Abstract
4.1 Introduction
4.2 Time domain analysis
4.3 Frequency domain analysis
5: Application of signal processing to mechanical systems
Abstract
5.1 Introduction
5.2 Roller bearings
5.3 Gears
5.4 Friction
6: Practical experience and industrial applications
Abstract
6.1 Introduction
6.2 Test procedure
6.3 Simulation analysis
7: Synchronization of nonlinear systems
Abstract
7.1 Introduction
7.2 Synchronization
7.3 Kuramoto’s model
7.4 Synchronization of nonlinear pendulums
Bibliography
Index
| Erscheint lt. Verlag | 24.10.2014 |
|---|---|
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 500 g |
| Themenwelt | Technik ► Maschinenbau |
| ISBN-10 | 1-78242-165-3 / 1782421653 |
| ISBN-13 | 978-1-78242-165-8 / 9781782421658 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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