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2020, vol. 48, br. 1, str. 127-136
Unapređenje metoda vibro-akustične kontrole mehanizma za distribuciju gasa kod SUS motora
aSouth Ural State University, Department of Road Transport, Chelyabinsk, Russia
bKuzbass State Technical University named after T.F. Gorbachev, Department of Mining and Technosphere Safety, Kuzbass, Russia

e-adresashepelevvd@susu.ru
Projekat:
The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0011

Ključne reči: engine; gas distribution mechanism; diagnostics; amplitude; frequency; phase; efficiency
Sažetak
Savremeno vozilo predstavlja skup visoko preciznih sistema. Poslednjih 20 godina nisu rađena nikakva poboljšanja mehanizma za distribuciju gasa (MDG), a nije se ni smanjio broj otkaza rada MDG-a. Analizom je utvrđeno da 30% svih otkaza rada SUS motora otpada na MDG. Problem predstavlja velika osetljivost sistema savremenih motora na odlivanje ulja, kvalitet goriva, pravovremenost održavanja, tj. obavljanje rutinskih aktivnosti. Analiza radnih uslova savremenih motora je pokazala nepoštovanje zakona u više od 50% slučajeva, što skraćuje radni vek vozila. Zato je od značaja razvijanje dijagnostičkih metoda kojima se definiše stepen habanja delova motora u svim fazama rada. Jedan od takvih je vibroakustički metod. Cilj rada je razvijanje metodologije i metode za dijagnostikovanje otkaza MDG-a primenom analize parametara vibracije zajedno sa signalom za pritisak u cilindru, nagibom radilice. Analizom je identifikovano stanja otkaza rada ventila MDG-a. Razvijen je niz alata za selektivnu dijagnozu elemenata MDG-a. Takođe je razvijena metodologija za određivanje faza i termičkog zazora kod ventila primenom metoda bez demontaže.
Reference
Badawy, T., Shrestha, A., Henein, N. (2011) Detection of combustion resonance using an ion current sensor in diesel engines. u: Internal Combustion Engine Division Fall Technical Conference, 2-5.10.2011, Morgantown, United States, Proceedings, pp. 755-763
Barelli, L., Barluzzi, E., Bidini, G., Bonucci, F. (2012) Cylinders diagnosis system of a 1MW internal combustion engine through vibrational signal processing using DWT technique. Applied Energy, 92, 44-50
Boguś, P., Merkisz, J., Grzeszczyk, R., Mazurek, S. (2003) Nonlinear analysis of combustion engine vibroacoustic signals for misfire detection. u: World Congress, 3-6.03.2003, Detroit, United States, Proceedings
Czech, P., Bąkowski, H. (2013) Diagnosing of car engine fuel injectors damage using DWT analysis and PNN neural networks. Transport Problems, 8(3), 85-91
D'ambrosio, S., Ferrari, A., Galleani, L. (2015) Incylinder pressure-based direct techniques and time frequencyanalysis for combustion diagnostics, IC engines. Energy Convers. Manag, 99, 299-312
Delvecchio, S., Bonfiglio, P., Pompoli, F. (2018) Vibro-acoustic condition monitoring of internal combustion engines: A critical review of existing techniques. Mechanical Systems and Signal Processing, 99, 661-683
Desbazeille, M., Randall, R.B., Guillet, F., el Badaoui, M., Hoisnard, C. (2010) Model-based diagnosis of large diesel engines based on angular speed variations of the crankshaft. Mechanical Systems and Signal Processing, 24(5), 1529-1541
Doebling, S.W., Farrar, C.R., Prime, M.B. (1998) A summary review of vibration-based damage identification methods. Shock and Vibration Digest, 30(2), 91-105
Durand, J., Gagliardini, L., Soize, C. (2005) Nonparametric modeling of the variability of vehicle vibroacoustic behavior. u: Noise and Vibration Conference and Exhibition, 16-19.05.2005, Traverse City, United States, Proceedings
Flekiewicz, B., Flekiewicz, M. (2011) Gas injector rail calibration and diagnosis by means of vibroacoustic signal. u: Noise and Vibration Conference and Exhibition, 16-19.05.2011, Rapids, United States, Proceedings
Ftoutou, E., Chouchane, M., Besbès, N. (2012) Internal combustion engine valve clearance fault classification using multivariate analysis of variance and discriminant analysis. Transactions of the Institute of Measurement and Control, 34(5), 566-577
Fugate, M.L., Sohn, H., Farrar, C.R. (2001) Vibrationbased damage detection using statistical process control. Mechanical Systems and Signal Processing, 15(4), 707-721
Gao, Z., Cecati, C., Ding, S.X. (2015) A survey of fault diagnosis and fault-tolerant techniques-part I: Fault diagnosis with model-based and signal-based approaches. IEEE Transactions on Industrial Electronics, 62(6), 3757-3767
Gritsenko, A.V., Zadorozhnaya, E.A., Shepelev, V.D. (2018) Diagnostics of friction bearings by oil pressure parameters during cycle-by-cycle loading. Tribology in Industry, 40(2), 300-310
Gritsenko, A.V., Shepelev, V.D., Samartseva, A.V. (2019) Development of measures to prevent surging turbochargers of cars. Lecture Notes in Mechanical Engineering, No.9783319956299, pp. 861-871
Gu, F., Li, W., Ball, A.D., Leung, A.Y.T. (2000) The condition monitoring of diesel engines using acoustic measurements part 1: Acoustic characteristics of the engine and representation of the acoustic signals. u: World Congress, 6-9.03.2000, Detroit, United States, Proceedings
Ilić, Z., Rašuo, B., Jovanović, M., Janković, D. (2013) Impact of changing quality of air/fuel mixture during flight of a piston engine aircraft with respect to vibration low frequency spectrum. FME Transactions, vol. 41, br. 1, str. 25-32
Jiang, Z., Mao, Z., Wang, Z., Zhang, J. (2017) Fault diagnosis of internal combustion engine valve clearance using the impact commencement detection method. Sensors, 17(12), 2916-2916
Klinchaeam, S., Nivesrangsan, P. (2010) Condition monitoring of valve clearance fault on a small four strokes petrolengine using vibration signals. Songklanakarin J. Sci. Technol, 32(6), 619-625
Komorska, I. (2012) Diagnostic-oriented vibroacoustic model of the reciprocating engine. Solid State Phenomena, 180, 214-221
Kostyukov, V.N., Naumenko, A.P. (2014) Technology of piston compressors real-time diagnostics and monitoring. u: Condition Monitoring and Machinery Failure Prevention Technologies, 11th International Conference, 10-12.06. 2014, United Kingdom, Proceedings
Kurihara, N., Fu, J., Sirayama, Y., Furumaya, H. (2005) Quick detection of knocking combustion using wavelet transform for spark-ignition (SI) engine. u: 12th International Congress on Sound and Vibration, 11-14.07.2005, Lisbon, Portugal, Proceedings, Vol. 2, pp. 1737-1744
Li, L., Chadli, M., Ding, S.X., Qiu, J., Yang, Y. (2017) Diagnostic observer design for TS fuzzy systems: Application to real-time weighted fault detection approach. IEEE Transactions on Fuzzy Systems, pp. 1
Li, Y., Tse, P.W., Yang, X., Yang, J. (2010) EMD-based fault diagnosis for abnormal clearance between contacting components in a diesel engine. Mechanical Systems and Signal Processing, 24(1), 193-210
Marwala, T., Hunt, H.E.M. (2000) Is damage identification using vibration data in a population of cylinders feasible?. Journal of Sound and Vibration, 237(4), 727-732
Matijević, D.V., Popović, V.M. (2017) Overview of modern contributions in vehicle noise and vibration refinement with special emphasis ondiagnostics. FME Transactions, vol. 45, br. 3, str. 448-458
Merkisz, J., Waligorski, M., Bajerlein, M., Markowski, J. (2011) Application of the frequency and JTFA analyses of the accompanying processes for OBDcombustion process monitor design in turbocharged CI direct injection engines of HDV non-roadvehicles. u: World Congress and Exhibition, 12.04.2011, Detroit, United States, Proceedings
Mohammad, S.A.B., Ravindran, V., Rao, P.N. (2019) Vibro-acoustic optimization of 3 cylinder diesel engine components for lower sound radiationusing finite element techniques. u: International Automotive Technology, 16th Symposium, 16-19.01.2019, Maharashtra, India, Proceedings
Morgan, I., Liu, H., Tormos, B., Sala, A. (2010) Detection and diagnosis of incipient faults in heavy-duty dieselengines. IEEE Trans. Ind. Electron, Vol. 57, pp. 3522-3532
Morgan, I., Liu, H., Tormos, B., Sala, A. (2010) Detection and diagnosis of incipient faults in heavy-duty diesel engines. IEEE Transactions on Industrial Electronics, 57(10), 3522-3532
Nair, Y.C., Kumar, S., Soman, K.P. (2017) Real-time automotive engine fault detection and analysis using bigdata platforms. u: Advances in Intelligent Systems and Computing, Singapore: Springer, Vol. 515, pp. 507-514
Shubenkova, K., Valiev, A., Shepelev, V., Tsiulin, S., Reinau, K.H. (2018) Possibility of digital twins technology for improving efficiency of the branded service system. u: Global Smart Industry Conference, 13-15.11. 2018, Chelyabinsk, Russian Federation, Proceedings, No. 8570075
Thomasson, A., Nikkar, S., Höckerdal, E. (2018) Cylinder pressure based cylinder charge estimation in diesel engines with dual independent variable valve timing. u: 2018 SAE World Congress Experience, 10-12.04.2018, Cobo Center Detroit, United States, Proceedings
Varbanets, R., Karianskyi, S., Rudenko, S., Gritsuk, I.V., Yeryganov, A., Kyrylash, O., Aleksandrovskaya, N. (2017) Improvement of diagnosing methods of the diesel engine functioning under operating conditions. u: The International Powertrains, Fuels and Lubricants Meeting, 15-19.10.2017, Beijing; China, Proceedings
Witek, L. (2016) Failure and thermo-mechanical stress analysis of the exhaust valve of diesel engine. Eng. Fail. Anal, Vol. 66, pp. 154-165
Youssef, T., Chadli, M., Karimi, H.R., Wang, R. (2017) Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model. Journal of the Franklin Institute, 354(6), 2524-2542
 

O članku

jezik rada: engleski
vrsta rada: neklasifikovan
DOI: 10.5937/fmet2001127G
objavljen u SCIndeksu: 04.05.2020.
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