Abstract
Combustion event detection is an important issue in internal combustion engine. The combustion is mostly detected by measurement of pressure by a pressure sensor which is mounted in cylinder head. However, the cost of pressure sensor is very high. Therefore, an effort has been made to detect the combustion event in a diesel engine by analysis of sound signal recorded by android mobile. The sound signal carries various frequencies. Therefore, an algorithm based on wavelet packet transform (WPT) has been developed to detect the combustion event in a single cylinder diesel engine.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Heywood JB (1988) Internal combustion engine fundamentals. McGraw-Hill, New York
Mobley C (1999) Non-intrusive in-cylinder pressure measurement of internal combustion engines. SAE Paper, 1999-01-0544
Lyon RH, DeJong RG (1984) Design of a high-level diagnostic system. J Vib Acoust 106:17–21
Gao Y, Randall RB (1999) Reconstruction of diesel engine cylinder pressure using a time domain smoothing technique. Mech Syst Signal Process 13:709–722
Antoni J, Daniere J, Guillet F (2002) Effective vibration analysis of IC engines using cyclostationarity; A methodology for condition monitoring—part 1. J Sound Vib 257:815–837
Antoni J, Daniere J, Guillet F (2002) Effective vibration analysis of IC engines using cyclostationarity; A methodology for condition monitoring-Part 2. J Sound Vib 257:839–856
Connolly FT, Yagle AE (1992) Modeling and identification of the combustion pressure process in internal combustion engines using engine speed fluctuations. In: American society of mechanical engineers, dynamic systems and control division, vol 44. Anaheim, CA, pp 191–206
Brand D, Onder C, Guzzella L (2005) Estimation of the instantaneous in-cylinder pressure for control purposes using crankshaft angular velocity. In Proceedings: SAE world congress paper 2005-01-0228, (2005)
Moro D, Cavina N, Ponti F (2002) In-cylinder pressure reconstruction based on instantaneous engine speed signal. J Eng Gas Turbines Power 124:220–225
Yang J, Pu L, Wang Z, Zhou Y, Yan X (2001) Fault detection in a diesel engine by analysing the instantaneous angular speed. Mech Syst Signal Process 15:549–564
Rizzoni G (1989) Diagnosis-of individual cylinder misfires by signature analysis of crankshaft speed fluctuations. SAE Paper No. 890884
Ponti F (2008) Instantaneous engine speed time-frequency analysis for onboard misfire detection and cylinder isolation in a V12 high-performance engine. J Eng Gas Turbines Power 130:1–9
Charles P, Sinha JK, Gu F, Lidstone L, Ball AD (2009) Detecting the crankshaft torsional vibration of diesel engines for combustion related diagnosis. J Sound Vib 321:1171–1185
Charles P, Sinha JK, Gu F, Ball AD (2010) Application of novel polar representation method for monitoring minor engine condition variations. Mech Syst Signal Process 24:841–843
Roy SK, Mohanty AR (2017) Use of rotary optical encoder for firing detection in a spark ignition engine. Measurement 98:60–67
Kamin´ski T, Wendeker M, Urbanowicz K, Litak G (2004) Combustion process in a spark ignition engine: Dynam. Noise level estimation. Chaos, 14, 401–406 (2004)
Jeong-Guon I, Kim HJ, Lee SH, Shinoda K (2009) Prediction of intake noise of an automotive engine in run-up condition. Appl Acoust 70(2):347–355
Delvecchio S, Bonfiglio P, Pompoli F (2018) Vibro-acoustic condition monitoring of internal combustion engines: a critical review of existing techniques. Mech Syst Signal Process 99:661–683
Irawan YS, Suyono H (2014) Bearing damage detection based on sound signal. Appl Mech Mater 548–549:698–702
Orman, M., Rzeszucinski, P., Tkaczyk, A., Krishnamoorthi, K., Pinto, C., Sulowicz, M.: Bearing fault detection with the use of acoustic signals recorded by a hand held mobile phone. In: second international conference on condition assessment techniques in electrical systems, IEEE CATCON 2015, pp. 252–256, Bangaluru (2015)
Siegel J, Kumar S, Ehrenberg I, Sarma S (2016) Engine misfire detection with pervasive mobile audio. In: Berendt B, Bringmann B, Fromont E, Garringa G, Miettinen P, Tatti N, Tresp V (eds) Machine learning and knowledge discovery in databases. ECML PKDD 2016. Springer, Riva Del Garda, Italy, pp 226–241
Mohanty, A.R.: Machinery Condition Monitoring: Principles and Practices, 1st edn, CRC Press (2014)
Coifman RR, Meyer Y, Quake S, Wickerhauser MV (1994) Signal processing and compression with wavelet packets. In: Byrnes JS, Byrnes JL, Hargreaves KA, Berry K (Eds.), Wavelets and their applications, pp 363–379
Fan X, Zuo MJ (2006) Gearbox fault detection using Hilbert and wavelet packet transform. Mech Syst Signal Process 20(4):966–982
Vong CM, Wong PK (2011) Engine ignition signal diagnosis with wavelet packet transform and multi-class least squares support mector machines. Expert Syst Appl 38(7):8563–8570
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Roy, S.K. (2019). Combustion Event Detection in a Single Cylinder Diesel Engine by Analysis of Sound Signal Recorded by Android Mobile. In: Kumar, M., Pandey, R., Kumar, V. (eds) Advances in Interdisciplinary Engineering . Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6577-5_13
Download citation
DOI: https://doi.org/10.1007/978-981-13-6577-5_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6576-8
Online ISBN: 978-981-13-6577-5
eBook Packages: EngineeringEngineering (R0)