Fuzzy logic-based expert system for diesel engine oil analysis diagnosis

Insight: Non-Destructive Testing and Condition Monitoring

Volumn 48, Issue 8, 2006, Pages 462-469

  Macián, Vicente ^a   Tormos, Bernardo ^a   Sala, Antonio ^a   Ramirez, Julio ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DIESEL ENGINES; EXPERT SYSTEMS; FUZZY SETS;

DEISEL ENGINES OIL ANALYSIS DIAGNOSIS; ENGINE FAULT;

CONDITION MONITORING;

EID: 33747175060     PISSN: 13542575     EISSN: None     Source Type: Journal    
DOI: 10.1784/insi.2006.48.8.462     Document Type: Article

References (20)

1. V Macián, B Tormos, and M J Lerma, 'Knowledge based systems for predictive maintenance of diesel engines', Proc Euromaintenance Conf, Vol 1, Swedish Maintenance Society-ENFMS, pp 49-54, 2000.
2. R Miller and S Reilly, 'The effective use of expert systems in oil analysis', Practicing Oil Analysis '99 Conference Proceedings, 1999.
3. S Russell and P Norvig, 'Artificial intelligence: a modern approach', 2nd ed, Prentice-Hall, 2003.
4. V Macián, M J Lerma and B Tormos, 'Oil analysis evaluation for an engines fault diagnosis system', SAE Paper, 1999-01-1515, 1999.
5. V Macián, B Tormos, P Olmeda and L Montoro, 'Analytical approach to wear rate determination for internal combustion engine condition monitoring based on oil analysis', Tribology International, Vol 36/10, pp 771-776, October 2003.
6. S Hanks and D McDermott, 'Default reasoning, nonmonotonic logics and the frame problem', In Principles of expert systems, A Gupta and B Prasad (Eds), pp 203-208, IEEE Press, New York, 1988.
7. G Shafer and J Pearl, 'Readings in uncertain reasoning', Morgan-Kauffmann, San Mateo, CA (USA), 1990.
8. B Buchanan and E Shortli, 'Rule based expert systems', Addison-Wesley, Readings (MA), USA, 1984.
9. Z Pawlak, 'Rough sets', Int J Inform Comput Science, Vol 11, pp 341-356, 1982.
10. L Zadeh, 'Outline of a new approach to the analysis of complex systems and decision processes', IEEE Transactions on Systems, Man & Cybernetics, Vol 3, pp 28-44, 1973.
11. K Atanasov, 'Intuitionistic fuzzy sets', Fuzzy Sets and Systems, Vol 20, pp 87-96, 1986.
12. D Dubois and H Prade, 'Necessity measure and the resolution principle', IEEE Transactions on Systems, Man & Cybernetics, Vol 17, pp 474-478, 1987.
13. D Dubois and H Prade, 'Possibility theory: an approach to computerized processing of uncertainty', Plenum, New York, 1988.
14. D Dubois and H Prade, 'The three semantics of fuzzy sets', Fuzzy Sets and Systems, Vol 90, No 2, pp 142-150, 1997.
15. R Jager, 'Fuzzy logic in control', Doctoral dissertation, Delft University of Technology, Delft (Netherlands), 1995.
16. A Sala, B Tormos, V Macián and E Royo, 'Fuzzy diagnosis module based on interval fuzzy logic', Proceedings of Int Conf of Informatics in Control, Automation and Robotics, Barcelona, Spain, Vol 1, pp 85-90), 2005.
17. C W Entemann, 'A fuzzy logic with interval truth values', Fuzzy Sets and Systems, Vol 113, pp 161-183, 2000.
18. B Tormos, 'Contribución al diagnóstico de motores diesel basado en el análisis de lubricante usado', Doctoral dissertation, Universidad Politécnica de Valencia, 2002.
19. V Macián, B Tormos, P Olmeda, L Montoro and E Anubla, 'Results and benefits of an oil analysis programme for railway locomotive diesel engines', Insight Non-Destructive Testing and Condition Monitoring, Vol 45, No 6, pp 402-406, June 2003.
20. J Evans, 'Oil analysis statistics show frequencies of common problems', Practicing Oil Analysis Magazine, July 1998.