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Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration
1st Edition - October 24, 2014
Author: Juan Carlos A. Jauregui Correa
Language: English
Hardback ISBN:9781782421658
9 7 8 - 1 - 7 8 2 4 2 - 1 6 5 - 8
eBook ISBN:9781782421665
9 7 8 - 1 - 7 8 2 4 2 - 1 6 6 - 5
Development of new sensors and digital processors has provided opportunity for identification of nonlinear systems. Vibration measurements have become standard for predicting and…Read more
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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.
Covers the most recent advances in machinery monitoring
Describes the basis for nonlinear dynamics
Presents advantages of applying modern signal processing to mechanical systems
Aerospace and Automobile Engineering graduate students, Researchers and Professors
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
No. of pages: 220
Language: English
Edition: 1
Published: October 24, 2014
Imprint: Woodhead Publishing
Hardback ISBN: 9781782421658
eBook ISBN: 9781782421665
JJ
Juan Carlos A. Jauregui Correa
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.
Affiliations and expertise
CIATEQ Advanced Technology Center, Mexico
Read Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration on ScienceDirect