Archives of Acoustics, 46, 1, pp. 105–119, 2021

Experimental Study of Identifying Emission Sources of Acoustic Signals on the Cylinder Body of a Two-Stroke Marine Diesel Engine

Xuan Thin DONG
Vietnam Maritime University
Viet Nam

Manh Hung NGUYEN
Vietnam Maritime University
Viet Nam

In this paper, an experimental method was utilized to investigate acoustic emission (AE) characteristics and to identify emission sources of the nonlinear AE signal on the cylinder body of a large low-speed two-stroke marine diesel engine in real-working conditions on the sea in misfiring and normal firing modes. Measurements focused on the AE signal acquired in a transverse direction in low-frequency (20–80 kHz), medium-frequency (100–400 kHz) and high-frequency (400–900 kHz) ranges. The collected signals were analyzed on the crank angle and crank angle-frequency domains. The results showed that all potential sources of the nonlinear AE signal could be mapped in the low-frequency range. However, only the AE signal caused by the combustion process at around the top dead center could be well-observed in the medium-to-high-frequency range. The findings also revealed that in normal firing conditions, the AE energy radiated by friction in the down-stroke period was smaller than in the up-stroke process due to gas-sealing forces. Moreover, the AE energy in the misfiring condition was higher than in the normal firing state. These outcomes considerably contributed understandings to characteristics of friction and wear around the mid-stroke area of the cylinder on a two-stroke marine diesel engine.
Keywords: acoustic emission; two-stroke marine diesel engine; experimental method; low and mediumto- high frequency ranges; vibration
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Ahmad T.A., Alireza M. (2019), Fault detection of injectors in diesel engines using vibration time-frequency analysis, Applied Acoustic, 143: 48–58, doi: 10.1016/j.apacoust.2018.09.002.

Albarbar A., Gu F., Ball A.D. (2010), Diesel engine fuel injection monitoring using acoustic measurements and independent component analysis, Measurement, 43(10): 1376–1386, doi: 10.1016/j.measurement.2010.08.003.

Ben-Sasi A. (2005), The exploitation of instantaneous angular speed for machinery condition monitoring, Ph.D. Thesis, University of Manchester.

Boness R.J., Mcbride S.L. (1991), Adhesive and abrasive wear studies using acoustic emission techniques, Wear, 149(1–2): 41–53, doi: 10.1016/0043-1648(91)90363-Y.

Brown E., Douglas R., Nivesrangsan P., Reuben R.L., Robertson A., Steel J.A. (2004), Source identification using acoustic emission on large bore cylinder liners, Proceedings of the 26th European Conference on Acoustic Emission Testing, pp. 637–643, Berlin, Germany.

Douglas R.M. (2007), Monitoring of the piston ring-pack and cylinder liner interface in diesel engines through acoustic emission measurements, Ph.D. Thesis, Heriot-Watt University.

Douglas R.M., Steel J.A., Reuben R.L. (2006), A study of the tribological behaviour of piston ring/cylinder liner interaction in diesel engines using acoustic emission, Tribology International, 39(12): 1634–1642, doi: 10.1016/j.triboint.2006.01.005.

Dykas B., Harris J. (2017), Acoustic emission characteristics of a single cylinder diesel generator at various loads and with a failing injector, Mechanical Systems and Signal Processing, 93: 397–414, doi: 10.1016/j.ymssp.2017.01.049.

Elamin F., Fan Y., Gu F., Ball A. (2010), Diesel engine valve clearance detection using acoustic emission, Advances in Mechanical Engineering, 2: 1–7, doi: 10.1155/2010/495741.

El-Ghamry M., Steel J.A., Reuben R.L., Fog T.L. (2004), Indirect measurement of cylinder pressure from diesel engine using acoustic emission, Mechanical Systems and Signal Processing, 19(4): 751–765, doi: 10.1016/j.ymssp.2004.09.004.

Gill J., Reuben R.L., Steel J.A., Asquith J. (2000), A study of small HSDI diesel engine fuel injection equipment faults using acoustic emission, Journal of Acoustic Emission, 18: 1–6.

Jafari S.M., Mehdigholi H., Behzad M. (2014), Valve fault diagnosis in internal combustion engines using acoustic emission and artificial neural network, Shock and Vibration, 2014: Article ID 823514, doi: 10.1155/2014/823514.

Jafarian, K., Mobin, M., Jafari-Marandi, R., & Rabiei, E. (2018), Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring, Measurement, 128: 527–536, doi: 10.1016/j.measurement.2018.04.062.

Jiaa C.L., Dornfeld D.A. (1990), Experimental studies of sliding friction and wear via acoustic emission signal analysis, Wear, 139(2): 403–424, doi: 10.1016/0043-1648(90)90059-J.

Liang B., Gu F., Ball A. (1996), Detection and diagnosis of valve faults in recuperating compressors, Proceedings of the 9th International Congress and Exhibition on Condition Monitoring and Diagnostics Engineering Management, pp. 421– 430, Sheffield, UK.

Lin T.R., Tan A.C.C., Mathew J. (2011), Condition monitoring and diagnosis of injector faults in a diesel engine using in-cylinder pressure and acoustic emission techniques, [in:] Su Z., Law S.S., Xia Y., Cheng L. (Eds) Proceedings of the 14th Asia Pacific Vibration Conference – Dynamics for Sustainable Engineering – Vol. 1, pp. 454–463, Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hong Kong,

Mechefske C.K., Sun G. (2001), Monitoring sliding wear using acoustic emission, Proceedings of the 14th International Conference on Condition Monitoring and Diagnostic Engineering Management, COMADEM, pp. 57–65, Manchester, UK.

Nivesrangsan P., Steel J.A., Reuben R.L. (2005a), Acoustic emission mapping of diesel engines for spatially located time series – Part II: Spatial reconstitution, Mechanical Systems and Signal Processing, 21(2): 1084–1102, doi: 10.1016/j.ymssp.2005.08.024.

Nivesrangsan P., Steel J.A., Reuben R.L. (2005b), Source location of acoustic emission in diesel engines, Mechanical Systems and Signal Processing, 21(2): 1103–1114., doi: 10.1016/j.ymssp.2005.12.010

Pearson K.R. (1905), Skew variation, a rejoinder, Biometrika, 4(1–2): 169–212.

Price E.D., Lees A.W., Friswell M.I. (2005), Detection of severe sliding and pitting fatigue wear regimes through the use of broadband acoustic emission, Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 219(2): 85–98, doi: 10.1243/135065005X9817.

Shuster M., Combs D., Karrip K., Burek D. (2000), Piston ring cylinder liner scuffing phenomenon studies using acoustic emission technique, Proceedings of the CEC/SAE Spring Fuels & Lubricants Meeting and Exposition, pp. 901–913, Paris, France.

Večeř P., Kreidl M., Šmíd R. (2005), Condition indicators for gearbox condition monitoring systems, Acta Polytech, 45(6): 35–43, doi: 10.14311/782 .

Wei N., Gu F., Wang T., Li G., Xu Y., Yang L., Ball A.D. (2015), Characterisation of acoustic emission for the frictional effect in engine using wavelets based multi-resolution analysis, Proceedings of 21st International Conference on Automation and Computing (ICAC), pp. 1–6, Glasgow, UK, doi: 10.1109/IConAC.2015.7313961..

Wu W., Lin T.R., Tan A.C.C. (2015), Normalization and source separation of acoustic emission signals for condition monitoring and fault detection of multi-cylinder diesel engines, Mechanical Systems and Signal Processing, 64–65: 479–497, doi: 10.1016/j.ymssp.2015.03.016.

Yunusa-Kaltungo A., Sinha J.K., Elbhbah K. (2014), HOS analysis of measured vibration data on rotating machines with different simulated faults, [in:] Dalpiaz G. et al. (Eds) Advances in Condition Monitoring of Machinery in Non-Stationary Operations. Lecture Notes in Mechanical Engineering, Springer, Berlin, Heidelberg,

Zhu J., Nostrand T., Spiegel C., Morton B. (2014), Survey of condition indicators for condition monitoring systems, Proceedings of Annual Conference of the Prognostics and Health Management Society, pp. 635–647, Texas, USA.

DOI: 10.24425/aoa.2021.136565

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