Study Of Chemical Analysis Of Oil Applying Data Mining Techniques

Paper #:
  • 2012-36-0412

Published:
  • 2012-10-02
DOI:
  • 10.4271/2012-36-0412
Citation:
Marinho, E., Silva Neto, R., Medeiros, J., Assis, L. et al., "Study Of Chemical Analysis Of Oil Applying Data Mining Techniques," SAE Technical Paper 2012-36-0412, 2012, https://doi.org/10.4271/2012-36-0412.
Pages:
8
Abstract:
The study of the wear track oil analysis is a technique commonly used in industrial, preventive and predictive maintenance of mechanical systems that suffer during the process of deterioration in service. This technique allows to study the behavior of the elements suspended in the lubricating oil. The paper proposes developing maps representing the wear of diesel analyzing the chemical analysis of the lubricating oil by the correlation of the chemical elements with the alloys of the mechanical components of the system. The methodology of this study was based on using data mining techniques for obtaining the data clustering of chemical analyzes, using the MATLAB 6.5 to obtain the maps. The software allows the display of trend curves, graphic correlation between the elements that have convergent or divergent behavior, interpolation and curve fitting as well as the clustering of elements in a map of wear on the engines examined.
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