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     Research Journal of Applied Sciences, Engineering and Technology


Evaluation of Variation Coefficient of Slewing Bearing Starting Torque Using Bootstrap Maximum-Entropy Method

Xintao Xia, Yanyan Meng and Yuanyuan Qin
Mechatronical Engineering College, Henan University of Science and Technology, Luoyang 471003, China
Research Journal of Applied Sciences, Engineering and Technology  2013  12:2213-2220
http://dx.doi.org/10.19026/rjaset.6.3849  |  © The Author(s) 2013
Received: December 10, 2012  |  Accepted: January 19, 2013  |  Published: July 30, 2013

Abstract

This study proposed the bootstrap maximum-entropy method to evaluate the uncertainty of the starting torque of a slewing bearing. Addressing the variation coefficient of the slewing bearing starting torque under load, the probability density function, estimated true value and variation domain are obtained through experimental investigation of the slewing bearing starting torque under various loads. The probability density function is found to be characterized by variational figure, scale and location. In addition, the estimated true value and the variation domain vary from large to small along with increasing load, indicating better evolution of the stability and reliability of the starting friction torque. Finally, a sensitive spot exists where the estimated true value and the variation domain rise abnormally, showing a fluctuation in the immunity and a degenerative disorder in the stability and reliability of the starting friction torque.

Keywords:

Small sample, slewing bearing, starting friction torque, uncertainty, variation coefficient,


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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