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     Research Journal of Applied Sciences, Engineering and Technology


Information Mining for Friction Torque of Rolling Bearing for Space Applications Using Chaotic Theory

1Xintao Xia, 1Long Chen, 1Lili Fu and 2Jianhua Li
1Mechatronical Engineering College, Henan University of Science and Technology, Luoyang 471003, China
2Special Bearing Departments, Institute of Luoyang Bearings, Luoyang 471039, China
Research Journal of Applied Sciences, Engineering and Technology  2013  22:5223-5229
http://dx.doi.org/10.19026/rjaset.5.4268  |  © The Author(s) 2013
Received: October 09, 2012  |  Accepted: December 03, 2012  |  Published: May 25, 2013

Abstract

Information on the friction torque time series of rolling bearings for space applications is mined to reveal its intrinsic operative mechanism of nonlinear dynamics. Based on the chaos theory and the simulation experiment of the changing vacuum, this study studies the changing characteristic of the friction torque with the decreasing vacuum in physical space, investigates variety and complexity forms of the strange attractor of the friction torque in phase space and estimates the maximum Lyapunov exponent and the correlation dimension. As a result, the intrinsic operative mechanism of nonlinear dynamics of the rolling bearing friction torque is characterized by a nonlinear and non-monotonic trend of the estimated correlation dimension with the increasing mean of the friction torque.

Keywords:

Chaotic theory, friction torque, information mining, rolling bearing, space applications,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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