Fault detection in internal combustion engines using fuzzy logic

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Volumn 221, Issue 5, 2007, Pages 579-587

  Celik M B ^a   Bayir, R ^b  

^a KARABUK UNIVERSITY   (Turkey)

^b ZONGULDAK KARAELMAS UNIVERSITY   (Turkey)

Author keywords

Fault detection; Fuzzy logic; Internal combustion engine

Indexed keywords

DATA ACQUISITION; FAULT DETECTION; FUZZY LOGIC;

EXPERT KNOWLEDGE; FUZZY LOGIC CLASSIFIER;

INTERNAL COMBUSTION ENGINES;

EID: 34250899726     PISSN: 09544070     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544070JAUTO366     Document Type: Article

References (21)

1. Gelgele, H. L. and Wang, K. An expert system For engine fault diagnosis: development and application. J. Intell. Mfg, 1998, 9, 539-545.
2. Weijie, W., Yuanfu, K., Xuezheng, Z., and Wentao, H. Study of automobile engine fault diagnosis based on wavelet neural networks. In Proceedings of the Fifth World Congress on Intelligent control and automation, Hangzhou, People's Republic of China, 15-19 June 2004, pp. 1766-1770.
3. Kher, S., Chande, P. K., and Sharma, P. C. Automobile engine fault diagnosis using neural networks. In Proceedings of the IEEE Conference on Intelligent transportation systems, Oakland, California, USA, 25-29 August 2001, pp. 492-495 (IEEE, New York).
4. Bay, O. F. and Bayir, R. Kohonen network based fault diagnosis and condition monitoring of pre-engaged starter motors. Int. J. Automat. Technol., 2005, 6(4), 341-350.
5. Soliman, A., Rizzoni, G., and Kim, Y. W. Diagnosis of an automotive emission control system using fuzzy inference. Control Engng Practice, 1999, 7(2), 209-16.
6. Laukonen, E. G., Passino, K. M., Krishnaswami, V., Luh, G. C., and Rizzoni, G. Fault detection and isolation for an experimental internal combustion engine via fuzzy identification. IEEE Trans. Control Systems Technol., 1995, 3(3), 347-355.
7. Kilagiz, Y., Baran, A., Yildiz, Z., and Cetin, M. A fuzzy diagnosis and advice system for optimization of emissions and fuel consumption. Expert Systems Applic., 2005, 28, 305-311.
8. Rauma, T., Kurki, M., and Alahuhta, P. An approach of using fuzzy logic in fault diagnosis. In Proceedings of the Fourth European Congress on Intelligent techniques and soft computing (EUFIT '96), 1996, Part 3, pp. 1909-1913 (Verlag der Augustinus Buchhandlung, Aachen).
9. Isermann, R. On fuzzy logic applications for automatic control, supervision, and fault diagnosis. IEEE Trans. Systems, Man, Cybernetics, Part A: Systems Humans, 1998, 28(2), 221-235.
10. Comly, J. B., Bonissone, P. P., and Dausch, M. E. Fuzzy logic for fault diagnosis. Proc. SPIE, 1991, 1381, 390-400.
11. Lu, Y., Chen, T. O., and Hamilton, B. A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning. IEEE Trans. Vehicular Technol., 2000, 49(2), 651-660.
12. PCI-1710 series user's manual, 2003 (Advantech Co. Ltd, Taiwan).
13. Fiat Tempra service catalogue, 1990 (Kaya Press, Istanbul).
14. Mendel, J. T. Fuzzy logic systems for engineering: a tutorial. Proc. EEE, 1995, 83(3), 345-377.
15. Chow, M. Y. Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection, 1997 (World Scientific, Singapore).
16. Kalogirou, S. A. Artificial intelligence for the modeling and control of combustion processes: a review. Prog. Energy Combust. Sci., 2003, 29, 515-566.
17. Lee, C. C. Fuzzy logic in control systems: fuzzy logic controller - Part 1. IEEE Trans. Systems, Man, Cybernetics, 1990, 20(2), 404-418.
18. Bay, O. F. and Bayir, R. Fault diagnosis of starter motors using fuzzy logic. In Proceedings of the Third International Advanced Technologies Symposium, Ankara, Turkey, 2003, pp. 520-534 (Gazi University).
19. Crouse, W. H. and Anglin, D. L. Automotive mechanics, 1993, p. 476 (McCraw-Hill, New York).
20. Heywood, J. B. Internal combustion engines fundamentals, 2000, p. 147 (McGraw-Hill, New York).
21. Ferguson, C. R. Internal combustion engines, 1986, p. 404 (John Wiley, New York).