Identyfikatory
Warianty tytułu
Widmo różnicowe jako miara stanu zużycia zaworu wylotowego
Języki publikacji
Abstrakty
The article presents an algorithm of diagnosing damages to the exhaust valve of the combustion engine. The process of obtaining a symptom as a difference spectrum takes into account time selection, which allows to reduce significantly the calculations necessary to obtain a measure of malfunction. As a result, we obtain a simple measure not requiring special conditions of object work and insensitive to simultaneously occurring valve clearance which is inappropriately set. Thus, we obtain a measure easy to use in diagnostics in real time.
W artykule przedstawiono algorytm diagnozowania uszkodzeń zaworu wylotowego silnika spalinowego. Proces pozyskania symptomu w postaci widma różnicowego uwzględnia selekcję czasową, co pozwala znacznie ograniczyć obliczenia niezbędne do otrzymania miary niesprawności. W efekcie otrzymujemy miarę prostą, niewrażliwą na równolegle występujący nieprawidłowo ustawiony luz zaworowy i nie wymagającą specjalnych warunków pracy obiektu. Tym samym otrzymujemy miarę łatwą do wykorzystania w diagnostyce w czasie rzeczywistym.
Czasopismo
Rocznik
Tom
Strony
59--64
Opis fizyczny
Bibliogr. 19 poz., rys.
Twórcy
autor
- Department of Fundamentals of Machine Design and Operation, Institute of Machine Design Fundamentals, Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Poland
Bibliografia
- 1. Adamczyk J, Krzyworzeka P, Łopacz H. Systems of synchronous processing of diagnostic signals. Collegium Columbinum. Kraków 1999. Polish.
- 2. Allier E, Sicard G, Fesquet L, Renaudin M. Asynchronous level crossing analog to digital converters. Measurement 2005; 37:296-309.
- 3. Antoni J, Daniere J, Guillet F. Effective vibration analysis of IC engines using cyclostationarity. Part I - A methodology for condition monitoring. Journal of Sound and Vibration 2002; 257(5):815-837.
- 4. Antoni J, Daniere J, Guillet F, Randall RB. Effective vibration analysis of IC engines using cyclostationarity. Part II - New results on the reconstruction of the cylinder pressures, Journal of Sound and Vibration 2002; 257(5):839-856.
- 5. Barczewski R, Szymański G. Application of the time-frequency selection of the vibration to valve clearance assessment of a diesel engine. Diagnostyka 2004; 30:18-22.
- 6. Cempel C. Vibroacoustics condition monitoring, PWN, Warszawa 1989. Polish.
- 7. Delvecchio S, Dalpiaz G, Niculita O, Rivola A. Condition monitoring in diesel engines for cold test applications. Part I: Vibration analysis for pass/fail decision, Proceeding of the 20th International Congress & Exhibition on Condition Monitoring and Diagnostic Engineering Management. June 2007, Faro, Portugal.
- 8. Delvecchio S, Dalpiaz G, Niculita O, Rivola A. Condition monitoring in diesel engines for cold test applications. Part II: Comparison of vibration analysis techniques, Proceeding of the 20th International Congress & Exhibition on Condition Monitoring and Diagnostic Engineering Management, June 2007, Faro, Portugal.
- 9. Dziurdź J. Transformation of nonstationary signal into “pseudostationary” signals for the needs of vehicle diagnostics. Acta Physica Polonica A 2010; 118(1):3-12. doi: 10.4028/www.scientific.net/SSP.196.3
- 10. Dziurdź J. Analysis of nonlinear phenomena In diagnosing vehicle powertrain systems. ITE-PIB, Warszawa – Radom, 2013. Polish. doi:10.4028/www.scientific.net/SSP.196.3
- 11. Elamin F, Fan Y, Gu F, Ball A. Diesel engine valve clearance detection using acoustic emission. Advances in Mechanical Engineering 2010.
- 12. Górnicka D. Vibroacoustics symptom of the exhaust valve damage of the internal combustion engine. Journal of Vibroengineering 2014; 16(4): 1925-1933.
- 13. Wang H, Chen P. A feature extraction method based on information theory for fault diagnosis of reciprocating machinery. Sensors 2009; 9:2415-2436. doi:10.3390/s90402415.
- 14. Jedliński Ł, Caban J, Krzywonos L, Wierzbicki S, Brumerčík F. Application of vibration signal in the diagnosis of IC engine valve clearance. Journal of Vibroengineering 2015; 17(1):175-187.
- 15. Komorska I. Utilising the resonance frequency of the engine vibration sensor in diagnostics of the exhaust valve leakage. Journal of KONES 2010; 17(2):209-216.
- 16. Krzyworzeka P. Synchronous support in machine diagnosing. ITE–PIB, Radom 2004. Polish.
- 17. Liu S, Gu F, Ball A. Detection of engine valve faults by vibration signals measured on the cylinder head. Proceeding IMechE, Part D: Journal Automobile Engineering 2006; 220: 379-386.
- 18. Wen-Xian Y. Establishment of the mathematical model for diagnosing the engine valve faults by genetic programming. Journal of Sound and Vibration 2006; 293:213-226. doi:10.1016/j.jsv.2005.09.004.
- 19. Wojnar G, Madej H. Averaged wavelet power spectrum as a method for piston - skirt clearance detection. Diagnostyka 2009; 2(50): 93-98.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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