Paper Title:
A New Modeling Method for Mechanical Friction Based on Data Mining
  Abstract

Modeling of friction force has been a challenging task in mechanical engineering. Traditional way, such as mathematical modeling approaches, was found quite difficult to achieve satisfactory performances due to some immanent nonlinearity and uncertainties in systems. This paper aims to develop fuzzy modeling techniques to characterize the friction dynamics. The proposed fuzzy modeling approach has two folds, that is, extraction of fuzzy rules using data mining techniques; setup of static model based on the fuzzy rules. The results obtained demonstrate that our proposed method in this paper has good potential in many mechanical systems with unknown nonlinear friction.

  Info
Periodical
Edited by
Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie
Pages
826-830
DOI
10.4028/www.scientific.net/AMM.16-19.826
Citation
Y. F. Wang, H. L. Cao, Y. M. Zhang, B. C. Wen, "A New Modeling Method for Mechanical Friction Based on Data Mining", Applied Mechanics and Materials, Vols. 16-19, pp. 826-830, 2009
Online since
October 2009
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