Fault detection in internal combustion engines using fuzzy logic

Abstract In this study, a complementary fuzzy-logic-based fault diagnosis system was developed to diagnose the faults of an internal combustion engine (ICE) and the system incorporated with an engine test stand. The input variables of the fuzzy logic classifier were acquired via a data acquisition card and RS-232 port. The rule base of this system was developed by considering the theoretical knowledge, the expert knowledge, and the experiment results. The accuracy of the fuzzy logic classifier was tested by experimental studies which were performed under different fault conditions. Using the developed fault diagnosis system, ten general faults which were observed in the internal combustion engine were successfully diagnosed in real time. With these characteristics, the system could easily be used for fault diagnosis in test laboratories and in service workshops.

[1]  Giorgio Rizzoni,et al.  Fault detection and isolation for an experimental internal combustion engine via fuzzy identification , 1995, IEEE Trans. Control. Syst. Technol..

[2]  Huang Wentao,et al.  Study of automobile engine fault diagnosis based on wavelet neural networks , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[3]  Soteris A. Kalogirou,et al.  Artificial intelligence for the modeling and control of combustion processes: a review , 2003 .

[4]  Rolf Isermann,et al.  On fuzzy logic applications for automatic control, supervision, and fault diagnosis , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[5]  Ahmet Baran,et al.  A fuzzy diagnosis and advice system for optimization of emissions and fuel consumption , 2005, Expert Syst. Appl..

[6]  Raif Bayir,et al.  KOHONEN NETWORK BASED FAULT DIAGNOSIS AND CONDITION MONITORING OF PRE-ENGAGED STARTER MOTORS , 2005 .

[7]  Giorgio Rizzoni,et al.  Diagnosis of an automotive emission control system using fuzzy inference , 1997 .

[8]  Kesheng Wang,et al.  An expert system for engine fault diagnosis: development and application , 1998, J. Intell. Manuf..

[9]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[10]  J. Mendel.  Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.

[11]  Piero P. Bonissone,et al.  Fuzzy logic for fault diagnosis , 1991, Other Conferences.

[12]  Yi Lu,et al.  A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning , 2000, IEEE Trans. Veh. Technol..

[13]  Yi Lu,et al.  A Fuzzy System for Automotive Fault Diagnosis , 1998 .

[14]  Petteri Alahuhta,et al.  An approach of using fuzzy logic in fault diagnosis , 1996 .