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HomeSolid State PhenomenaSolid State Phenomena Vol. 236Application of a Continuous Wavelet Transform for...

Application of a Continuous Wavelet Transform for the Diagnosing of Excessive Valve Clearance of the Combustion Engine

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Abstract:

Combustion engines are the components of means of transport which during service are exposed to the occurrence of excessive clearances. The diagnosing of the condition of the engine requires developing methods which could be useful during both continuous and single checks of the engine. Application of measurements and acoustic signal processing may facilitate a quick diagnosis of the engine without any additional disassembly work. As part of the study, research was conducted to develop a non-invasive method of diagnosing excessive clearance of the combustion engine. Based on the recorded acoustic signals of the combustion engine and reference signals of the momentary crankshaft position, a method was developed to diagnose an increased valve clearance in the combustion engine. In this method, processing of the recorded acoustic signals by means of the continuous wavelet transform was applied together with a comparison of their instantaneous energy, depending on the crankshaft rotation angle and timing angles, as well as the scale parameters of time and frequency distributions.

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Periodical:

Solid State Phenomena (Volume 236)

Pages:

153-160

DOI:

https://doi.org/10.4028/www.scientific.net/SSP.236.153

Citation:

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Online since:

July 2015

Authors:

Tomasz Figlus*, Andrzej Wilk

Keywords:

Combustion Engine, Continuous Wavelet Transform, Valve Clearance

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* - Corresponding Author

[1] B.U. Koo, J.G. Ih, Acoustic shape sensitivity analysis using the boundary integral equation. J. Acoust. Soc. Am., 104, pp.2851-2860, (1998).

DOI: 10.1121/1.423869

[2] A. D. Belegundu, R. R. Salagame, Koopmann G. H., A General Optimization Strategy for Sound Power Minimization. Structural Optimization, pp.113-119, (1994).

DOI: 10.1007/bf01743306

[3] E. Rusiński, J. Czmochowski, D. Pietrusiak, Selected problems in designing and constructing surface mining machinery. FME Transactions Volume 40, Issue 4, pp.153-164, (2012).

[4] T. Wellmann, K. Govindswamy, D. Tomazic, Integration of engine start/stop systems with emphasis on NVH and launch behavior. SAE International Journal of Engines Volume 6, Issue 2, pp.1368-1378, (2013).

DOI: 10.4271/2013-01-1899

[5] J. Urbanek, T. Barszcz, R. Zimroz, J. Antoni, Application of averaged instantaneous power spectrum for diagnostics of machinery operating under non-stationary operational conditions. Measurement: Journal of the International Measurement Confederation, 45(7), pp.1782-1791, (2012).

DOI: 10.1016/j.measurement.2012.04.006

[6] P. Droździel, L. Krzywonos, R. Madlenak, I. Rybicka, Selected aspects of analyses of failure rates of active safety systems in buses. Komunikacie Volume 16, Issue 3, pp.114-119, (2014).

DOI: 10.26552/com.c.2014.3.114-119

[7] T. Figlus, M. Stańczyk, Diagnosis of the wear of gears in the gearbox using the wavelet packet transform. Metalurgija, 53 (4), 2014, pp.673-676.

[8] T. Figlus, Š. Liščák, Assessment of the vibroactivity level of SI engines in stationary and non-stationary operating conditions. Journal of Vibroengineering Volume 16, Issue 3, pp.1349-1359, (2014).

[9] J. Dybala, R. Zimroz, Rolling bearing diagnosing method based on empirical mode decomposition of machine vibration signal. Applied Acoustics, 77, pp.195-203, (2014).

DOI: 10.1016/j.apacoust.2013.09.001

[10] J. Pankiewicz, P. Deuszkiewicz, J. Dziurdź, M. Zawisza, Modeling of powertrain system dynamic behavior with torsional vibration damper. Advanced Materials Research Vol. 1036 (2014), pp.586-591.

DOI: 10.4028/www.scientific.net/amr.1036.586

[11] J. -M. Liu, H. -Y. Li, X. -Y. Qiao, X. -L. Li, Y. -P. Shi, Engine cylinder pressure identification method based on cylinder head vibration signals. Neiranji Gongcheng/Chinese Internal Combustion Engine Engineering Volume 34, Issue 4, pp.32-37, August (2013).

[12] R. Michalski, S. Wierzbicki, An analysis of degradation of vehicles in operations Eksploatacja i Niezawodność – Maintenance and Reliability Vol. 1(37) (2008), pp.30-32.

[13] K. Vernekar, H. Kumar, K.V. Gangadharan, Fault diagnosis of deep groove ball bearing through discrete wavelet features using support vector machine. International Journal of COMADEM Volume 17, Issue 3, pp.31-37, July (2014).

DOI: 10.1784/204764215815848401

[14] S. Saridemir, The effect of dwell angle on vibration characteristics of camshaft bearing housings. Journal of Mechanical Science and Technology Volume 27, Issue 12, pp.3571-3577, December (2013).

DOI: 10.1007/s12206-013-0940-y

[15] Š. Hamacek, M. Bartłomiejczyk, R. Hrbáč, S. Mišák, V. Stýskala, Energy recovery effectiveness in trolleybus transport. Electric Power Systems Research Volume 112, pp.1-11, July (2014).

DOI: 10.1016/j.epsr.2014.03.001

[16] P. Droździel, Krzywonos, The estimation of the reliability of the first daily diesel engine start-up during its operation in the vehicle. Eksploatacja i Niezawodnosc 41(1), pp.4-10, (2009).

[17] Y. -Q. Sun, B. Wang, Y. -T. Zhang, Z. -N. Li, G. Zhang, Study of fault diagnosis of diesel engine fuel injection based on adaptive parallel factor. Binggong Xuebao/Acta Armamentarii Volume 34, Issue 5, pp.519-526, May (2013).

[18] S. Periyasamy, T. Alwarsamy, Analysis of block vibrations induced by combustion chamber pressure in a diesel engine. Journal of Vibroengineering Volume 14, Issue 1, pp.250-259, March (2012).

[19] P. Czech, G. Wojnar, R. Burdzik, Ł. Konieczny, J. Warczek, Application of the discrete wavelet transform and probabilistic neural networks in IC engine fault diagnostics. Journal of Vibroengineering Volume 16, Issue 4, pp.1619-1639, (2014).

[20] R. Barczewski, B. Jakubek, Problems of in-situ vibroacoustic testing of low-vibroactive devices, Vibrations in Physical Systems, Volume 25, 2012, pp.59-64.

[21] T. Figlus, Š. Liščák, A. Wilk, B. Łazarz, Condition monitoring of engine timing system by using wavelet packet decomposition of a acoustic signal, Journal of Mechanical Science and Technology, 28 (5), pp.1663-1671, May (2014).

DOI: 10.1007/s12206-014-0311-3

[22] J. Shaobo, C. Yong, H. Wanyou, H. Minli, Comparison of the vibration sensors used in the estimation of the combustion process in a diesel engine. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering Volume 228, Issue 8, pp.863-872, July (2014).

DOI: 10.1177/0954407013490394

[23] Y. -T. Zhang, Y. -Q. Sun, H. -B. Fan, Z. -N. Li, R. -G. Xu, Study on blind source separation method of vibration signals based on parallel factor analysis. Neiranji Gongcheng/Chinese Internal Combustion Engine Engineering Volume 35, Issue 3, pp.118-124, June (2014).

[24] P. Boguś, J. Merkisz, R. Grzeszczyk, Monitoring of combustion locomotive state with the use of an on-board device. WIT Transactions on the Built Environment Volume 135, pp.319-326, (2014).

DOI: 10.2495/cr140261

[25] J. T. Białasiewicz, Wavelets and approximations (in polish). WNT Warszawa, (2000).