SIMPel: Sistema Inteligente Híbrido para Apoio a Manutenção Preditiva em Equipamentos Lubrificados
Resumo
Em busca do aumento da produtividade a ALL, como muitas outras empresas, tem buscado aprimorar seus processos de manutenção preditiva para garantir a disponibilidade dos equipamentos. Essa manutenção em equipamentos lubrificados é realizada por meio da análise de óleo e outras informações sobre o equipamento. Entretanto, a obtenção de um diagnóstico consistente é trabalhosa devido à quantidade de regras e condições envolvidas. Nesse contexto, este artigo apresenta o SIMPel, um sistema inteligente híbrido, baseado na teoria de conjuntos fuzzy e sistemas especialistas, que automatiza o diagnóstico de manutenção dos equipamentos lubrificados da ALL. O sistema encontra-se em uso, tendo apresentado um excelente desempenho no testes realizados.Referências
Berkan, R. C. and Trubatch, S. L. (1997). Fuzzy Systems Design Principles: Building Fuzzy If-Then Rule Bases. Wiley-IEEE Press.
Bittencourt, G. (2001). Inteligência Artificial: Ferramentas e Teorias. UFSC, 2 edition.
Forgy, C. L. (1982). Rete: A fast algorithm for the many pattern/many object pattern match problem. Artificial Intelligence, 19(1):17–37.
Giarratano, J. C. and Riley, G. D. (2004). Expert Systems: Principles and Programming. Course Technology, 4 edition.
Kreyn, A., Turner, J., and Toms, A. M. (2007). Fuel and water diagnostic enhancements at BNSF railway. In STLE’07: Society of Tribologists and Lubrication Engineers; Condition Monitoring/Predictive Maintenance. STLE. 3p.
Macián, V., Tormos, B., Sala, A., and Ramirez, J. (2006). Fuzzy logic-based expert system for diesel engine oil analysis diagnosis. Insight - Non-Destructive Testing and Condition Monitoring, 48(8):462–469.
Mamdani, E. H. (1977). Application of fuzzy logic to approximate reasoning using linguistic synthesis. Transactions on Computers, 26(12):1182–1191.
Mobley, R. K. (2002). An Introduction to Predictive Maintenance. Butterworth-Heinemann, 2 edition.
Negnevitsky, M. (2005). Artificial Intelligence: A Guide to Intelligent Systems. Addison Wesley, 2 edition.
Sala, A., Tormos, B., Macián, V., and Royo, E. (2007). Fuzzy diagnosis module based on interval fuzzy logic: Oil analysis application. In Informatics in Control, Automation and Robotics II, pages 43–50. Springer Netherlands.
Toms, A. and Toms, L. (2010). Oil analysis and condition monitoring. In Mortier, R. M., Fox, M. F., and Orszulik, S. T., editors, Chemistry and Technology of Lubricants, chapter 16, pages 459–495. Springer, 3 edition.
Toms, L. A. (1996). Expert systems: A decade of use for used-oil data interpretation. In Proc. Technology Showcase: Integrated Monitoring, Diagnostics and Failure Prevention, pages 65–72.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3):338–353.
Bittencourt, G. (2001). Inteligência Artificial: Ferramentas e Teorias. UFSC, 2 edition.
Forgy, C. L. (1982). Rete: A fast algorithm for the many pattern/many object pattern match problem. Artificial Intelligence, 19(1):17–37.
Giarratano, J. C. and Riley, G. D. (2004). Expert Systems: Principles and Programming. Course Technology, 4 edition.
Kreyn, A., Turner, J., and Toms, A. M. (2007). Fuel and water diagnostic enhancements at BNSF railway. In STLE’07: Society of Tribologists and Lubrication Engineers; Condition Monitoring/Predictive Maintenance. STLE. 3p.
Macián, V., Tormos, B., Sala, A., and Ramirez, J. (2006). Fuzzy logic-based expert system for diesel engine oil analysis diagnosis. Insight - Non-Destructive Testing and Condition Monitoring, 48(8):462–469.
Mamdani, E. H. (1977). Application of fuzzy logic to approximate reasoning using linguistic synthesis. Transactions on Computers, 26(12):1182–1191.
Mobley, R. K. (2002). An Introduction to Predictive Maintenance. Butterworth-Heinemann, 2 edition.
Negnevitsky, M. (2005). Artificial Intelligence: A Guide to Intelligent Systems. Addison Wesley, 2 edition.
Sala, A., Tormos, B., Macián, V., and Royo, E. (2007). Fuzzy diagnosis module based on interval fuzzy logic: Oil analysis application. In Informatics in Control, Automation and Robotics II, pages 43–50. Springer Netherlands.
Toms, A. and Toms, L. (2010). Oil analysis and condition monitoring. In Mortier, R. M., Fox, M. F., and Orszulik, S. T., editors, Chemistry and Technology of Lubricants, chapter 16, pages 459–495. Springer, 3 edition.
Toms, L. A. (1996). Expert systems: A decade of use for used-oil data interpretation. In Proc. Technology Showcase: Integrated Monitoring, Diagnostics and Failure Prevention, pages 65–72.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3):338–353.
Publicado
19/07/2011
Como Citar
CARVALHO, Fabiano Losilla de; CARVALHO, Veronica Oliveira de.
SIMPel: Sistema Inteligente Híbrido para Apoio a Manutenção Preditiva em Equipamentos Lubrificados. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 8. , 2011, Natal/RN.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2011
.
p. 713-724.
ISSN 2763-9061.
