Abstract
Complex mechanical systems are those that are made up of a large number of inter-connected individual components, such as a multi body system. Traditionally, interconnections among elements are assumed to be springs and dampers, in this case, weak connections are introduced to explain synchronization. The system itself is treated as a black box, but it is assumed that a number of sensors can be applied to it to obtain dynamical signals of quantities like acceleration, velocity or displacement. The methods with which these signals can be analyzed to display characteristics such as synchronization are described. Some of these methods have been applied to signals obtained in several different experiments with mechanical systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Acharya U, Joseph K, Kannathal N, Lim C, Suri JS (2006) Heart rate variability: a review. Med Biol Eng Comput 44(12):1031−1051
Barrón MA, Sen M (2009) Synchronization of coupled self-excited elastic beams. J Sound Vib 324:209−220
Boetta G, Cencini M, Falcioni M, Vulpiani A (2002) Predictability: a way to characterize complexity. Phys Rep Rev Sect Phys Lett 356(6):367−474
Costa M, Goldberger A, Peng C (2002) Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett 89:068102
González-Cruz CA, Jáuregui-Correa JC, López-Cajún CS, Sen M (2014) Dynamic behavior and synchronization of an automobile as a complex system. In: Proceedings of the ASME 2014 12th Biennial conference on engineering systems design and analysis, Paper no. ESDA2014-20037
Jáuregui-Correa JC, Sen M, López-Cajún C (2009) Experimental characterization of blade vibration synchronization. ASME Turbo Expo, Paper no. GT2011-46105
Katok A (2007) Fifty years of entropy in dynamics: 1958–2007—Preface. J Mod Dyn 1(4):545−596
Kuramoto Y (1984) Chemical oscillations, waves, and turbulence. Springer, New York
Manrubia S, Mikhailov A, Zanette D (2004) Emergence of dynamical order: synchronization phenomena in complex systems. World Scientificc, New Jersey
Pikovsky A, Rosenblum M, Kurths J (2001) Synchronization: a universal concept in nonlinear sciences. Cambridge University Press, Cambridge
Pincus S, Goldberger A (1994) Physiological time-series analysis—what does regularity quantify. Am J Physiol 266(4, 2):1643−1656
Strogatz S (2000) From Kuramototo Crawford: exploring the onset of synchronization in populations of coupled oscillators. Physica D 143(1−4):1−20
Strogatz S (2003) Sync: the emerging science of spontaneous order. Theia, New York
Acknowledgments
Prof. López-Cajún thanks CONACyT for its support during his sabbatical leave.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Jáuregui-Correa, J.C., López Cajún, C.S., Sen, M. (2015). Analysis of Experimental Data from Complex Multibody System. In: Ceccarelli, M., Hernández Martinez, E. (eds) Multibody Mechatronic Systems. Mechanisms and Machine Science, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-09858-6_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-09858-6_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09857-9
Online ISBN: 978-3-319-09858-6
eBook Packages: EngineeringEngineering (R0)