This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Study Of Chemical Analysis Of Oil Applying Data Mining Techniques
Technical Paper
2012-36-0412
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
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.
Recommended Content
Journal Article | Analytical Ferrography Applied to Driveline Fluid Analysis |
Technical Paper | Comparison of Different Oil Filter Elements using Life Cycle Analysis |
Technical Paper | Lubricating Oil Condition monitoring Through Particle Size Analysis |
Authors
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.Also In
References
- LEVINE, David M SOUZA, Teresa Cristina Padilha de Estatística : teoria e aplicações : usando o Microsoft Excel em português 5 Rio de Janeiro LTC 2011 xxv 752 9788521616344
- Devore, Jay L. Probabilidade e Estatística para Engenharia e Ciências Sexta. Thomson Learning Edições 2006
- LEÃO, Antonio Augusto Conti Fernandes CLUSTERIZAÇÃO DE DADOS USANDO ALGORITMOS IMUNOINSPIRADOS 2010 54 f Monografia (Graduação) Curso de Bacharel em Ciência da Computação, Universidade Federal de Lavras Lavras - Mg 2010
- HANSELMAN, Duane LITTLEFIELD, Bruce MATLAB 5 Versão do Estudante: Guia do Usuário São Paulo Makron Books 1999 415
- ASSOCIAÇÃO BRASILEIRA DE NORMAS TÉCNICAS NBR 5462: Confiabilidade e Mantenabilidade Rio de Janeiro ABNT 1994
- ASSOCIAÇÃO BRASILEIRA DE NORMAS TÉCNICAS NBR 15150 : Qualificação e Certificação de Instrumentista de Manutenção Rio de Janeiro ABNT 1994