Prediction of engine condition by analyzing sound wave

Tipu, Mohammad Abdur Rashid; Ullah, Muhammad Shadat

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dc.contributor.author	Tipu, Mohammad Abdur Rashid
dc.contributor.author	Ullah, Muhammad Shadat
dc.date.accessioned	2021-09-10T09:08:41Z
dc.date.available	2021-09-10T09:08:41Z
dc.date.issued	2013-11-15
dc.identifier.citation	[1,2].Department of Electrical Engineering, Indian Institute of Bombay, Mumbai-76, India Vehicle Engine Sound Analysis Applied to Traffic Congestion Estimation , CMMR/FRSM 2011-9-12 March, 2011. Utkal University, Bhubaneswar [3,4,5] Maintenance Engineering, Manchester School of Engineering, University of Manchester, Oxford Road, Manchester M13 9PL, U.K. A study of the noise from diesel engines the independent component analysis, (Received 16 November 1999, accepted 3 October 2000) [6]Institute of Phonetic Sciences, University Amsterdam, ACCURATESHORTTERM ANALYSIS OF THE FUNDAMENTAL FREQUENCY AND THE HARMONICSTO- NOISE RATIO OF A SAMPLED SOUND Proceedings 17 (1993), 97-110. [8] University Teknologi Malaysia, Skudai, Malaysia ; Tahir, S.M. ; Sha'ameri, A.Z.Engines condition monitoring based on spectrum analysis of sound signals [10]http://www.rheoscience.com/engine/top-5-causes-of-car-engineproblems/ Science of Cars,Automotive engineering and mechanical science: Dec 24th, 2010. [11] Buck, J. R. & Tyack, P. L. 1993. A quantitative measure of similarity for Tursiops truncatus signature whistles. Journal of the Acoustical Society of America, 94, 2497-2506. [12] Deecke, V. B., Ford, J. K. B. & Spong, P. 1999. Quantifying complex patterns of bioacoustic variation: Use of a neural network to compare killer whale (Orcinus orca) dialects. Journal of the Acoustical Society of America, 105, 2499-2507. [13]Deecke, V. B. & Janik, V. M. 2006. Automated categorization of bioacoustic signals: Avoiding perceptual pitfalls. Journal of the Acoustical Society of America, 119, 645-653. [14]Sound Analysis using MATLAB, M.Sc. Eng. Hristo Zhivomirov 10/29/12 [15] International Journal of Scientific & Engineering Research Volume 3, Issue 5, May-2012 ISSN 2229-5518 [16]Haykin, Simon (1991). Advances in Spectrum Analysis and Array Processing. Prentice-Hall. ISBN 0-13-007444-6. [17] JL Flanagan, Speech Analysis, Synthesis and Perception, Springer- Verlag, New York, 1972 1. T. PRIEDE 1980 SAE 800534, 2039}2069. In search of origins of engine noise*an historical review. 70 2. P. W. SCHABERG, T. PRIEDE and R. K. DUTKIEWICZ 1990 SAE 900013, 1}13. E!ects of rapid pressure rise on engine vibration and noise. 3. T. PRIEDE 1979 SAE 790205, 783}797. Problems and developments in automotive engine noise research. 4. F. GU, W. LI, A. D. BALL and A. Y. T. LEUNG 1998. Manchester School of Engineering. No. MERG-0198. Investigation into the condition monitoring of diesel engines from their acoustic characteristics.	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/952
dc.description	Supervised by Dr. Md. Anayet Ullah Patwari Professor Department of Mechanical & Chemical Engineering Islamic University of Technology (IUT), OIC Board Bazar, Gazipur	en_US
dc.description.abstract	Engine performance very much depends on the proper alignment & working condition of different components (such as piston, piston rings, connecting rod, different valves, crank shaft, cam shaft etc), Lubrication system, and fuel injection system. If the components are not properly aligned or working condition is not good then engine produce excessive noise other than its ideal condition. This paper shows a systematic way to determine engine condition by analyzing sound wave produced by engine. Hence engine is tested for three working condition. That is when it is working at ideal speed, without one spark plug and without an air filter. Engine sound is recorded by a sound recorder for different conditions and then analyzed on MATLAB. It has been observed that for a particular problem engine produce vibration of certain frequency. If the frequency range of particular problem is known then it will be easier to predict the problem of the engine.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Technical and Vocational Education (TVE), Islamic University of Technology (IUT)	en_US
dc.subject	Engine condition, air filter, spark plug, sound wave, MATLAB, Spectrogram	en_US
dc.title	Prediction of engine condition by analyzing sound wave	en_US
dc.type	Thesis	en_US