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Development of Experimental Chaos Identification Analysis System

[+] Author Affiliations
Qingchao Yang, Shuyong Liu, Shijian Zhu, Aimin Diao

Naval University of Engineering, Wuhan, China

Paper No. DETC2009-86633, pp. 591-596; 6 pages
doi:10.1115/DETC2009-86633
From:
  • ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 22nd Biennial Conference on Mechanical Vibration and Noise, Parts A and B
  • San Diego, California, USA, August 30–September 2, 2009
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4898-2 | eISBN: 978-0-7918-3856-3
  • Copyright © 2009 by ASME

abstract

It is an important task to identify chaotic vibration in nonlinear vibration isolation system chaotification experiment. However, the chaotic time series toolbox is provided in few traditional data analysis software. The experimental chaos identification analysis system is developed in this paper based on LabVIEW. It can be applied to measure and analyze vibration signal in time, and the time history, power spectrum and phase space diagram can be observed with this developed system. Furthermore, it can be used as different signal sources such as harmonic signal, pulse and chaotic signal. In order to check the effectiveness of this system, the experiment is carried out, and the period-1, period-2, and chaotic attractor are measured. The different attractors are compared, and the self-similarity structure of the chaotic one is shown.

Copyright © 2009 by ASME
Topics: Chaos

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