Distribution & Access For Publication Downloads News About Us Contact Us
Paper Titles
Conception and Practical Application of a Measuring Device for Energetic Parameters Measurement of a Mechatronic Object
p.185
Investigations of the Vibroacoustic Signals Sensitivity to Mechanical Defects Not Recognised by the OBD System in Diesel Engines
p.194
Modelling of the Toothed Gear Operations with the Application of the Analysis of the Gear Sliding Mesh Velocity Changes
p.200
FPGA – ARM Heterogeneous System for High Speed Signal Analysis
p.207
Diagnostic-Oriented Vibroacoustic Model of the Reciprocating Engine
p.214
Measuring and Recording Systems Used in Flight Tests of Aircraft
p.222
Control Measurements at the Manufacturing of Metallic Products
p.232
Identification of Destructive Processes Affecting Hydraulic Servomechanisms of the Aircraft Control Assist System
p.238
Application of Adaptive Filtering for Weak Impulsive Signal Recovery for Bearings Local Damage Detection in Complex Mining Mechanical Systems Working under Condition of Varying Load
p.250

Diagnostic-Oriented Vibroacoustic Model of the Reciprocating Engine

Article Preview

Abstract:

The method of modelling the signal of vibrations of the internal combustion engine based on the discrete wavelet transform (DWT), is presented in the paper. This method is suitable for the representation of transient processes, which occur in the vibroacoustic signal (VA) generated by the engine. The model is identified on the basis of the vibration signal recorded during the car driving at a constant speed. The base model and its measures are created for the new engine and the control measurements, performed either at the determined time periods or car mileage, are compared to them. This base model must be actualised after each engine overhaul and as its wear and tear progresses, due to changes of the vibration characteristics. On account of a random character of vibration responses the envelope of the modelled signal is utilised for diagnostic purposes. The model based diagnostic method was verified in the paper on the example of the engine exhaust valve defect.

You might also be interested in these eBooks
Mechatronic Systems, Mechanics and Materials View Preview

Info:

Periodical:

Solid State Phenomena (Volume 180)

Pages:

214-221

DOI:

https://doi.org/10.4028/www.scientific.net/SSP.180.214

Citation:

Cite this paper

Online since:

November 2011

Authors:

Iwona Komorska

Keywords:

Damage of the Exhaust Valve, Diagnostic Model, Spark Ignition Engine, Vibration Response, Wavelet Analysis

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] W.X. Yang: Establishment of the mathematical model for diagnosing the engine valve faults by genetic programming, Journal of Sound and Vibration 293 (2006), pp.213-226.

DOI: 10.1016/j.jsv.2005.09.004

Google Scholar

[2] H.Madej, B.Łazarz, Pieruń G.: Application of the wavelet transform in SI engine valve faults diagnostics, Diagnostyka Nr 4(48)/2008 s.97-102.

Google Scholar

[3] G.Szymański, F.Tomaszewski: Vibroacoustic methodes of assessing valve clearance in combustion engines, An analysis of signals in the area of amplitude – point discriminants, Combustion Engines 1/2010 (140), pp.20-24.

DOI: 10.19206/ce-117156

Google Scholar

[4] I.Komorska: Utilising The Resonance Frequency Of The Engine Vibration Sensor In Diagnostics Of The Exhaust Valve Leakage, Journal of KONES 2010 Vol.17 No.2, pp.209-216.

Google Scholar

[5] I.Komorska: Detection of the engine head gasket defects on the basis of vibration signal, Combustion Engines, in press.

Google Scholar

[6] Z.Dąbrowski, H.Madej: Masking mechanical damages in the modern control systems of combustion engines, Journal of KONES 2006 Vol. 13, No. 3, pp.53-60.

Google Scholar

[7] B.A. Badawi, M.A. Shahin, M.Kolosy, S.A. Shadied, A. Elmaihy: Identification of Diesel Engine Cycle Events using Measured Surface Vibration, SAE Paper 2006-32-0097 /20066597.

DOI: 10.4271/2006-32-0097

Google Scholar

[8] A.McMormick, A.Nandi: Condition Monitoring Of Reciprocating Machinery Using Cyclic Autoregressive Models, Eurasip, Prague 1997.

Google Scholar

[9] J.Antoni, M.El Badaoui, F.Guillet, J.Daniere: Some New Diagnostic Parameters for Reciprocating Engines, SAE Paper 1999-01-1714.

DOI: 10.4271/1999-01-1714

Google Scholar

[10] D.Taraza, N.A. Henein, W.Bryzik: Diesel Engine Diagnosis Based on Analysis of the Crankshaft's Speed Variations, SAE paper 982540.

DOI: 10.4271/982540

Google Scholar

[11] I.Komorska: The Diagnostic Model Proposition Of The Engine Vibration Signal, Journal of KONES 2008, Vol.15 No.2 pp.191-198.

Google Scholar

[12] I.Komorska: Modeling Of Vibration Signal For Reciprocating Engine Diagnostics, Diagnostyka 2(50)/2009 s.23-26.

Google Scholar

[13] Z.Ranachowski, A.Bejger: Application of Wavelet Transform for Monitoring of Operation of High-Power Diesel Engine, Molecular and Quantum Acoustics, Vol.27 (2006).

Google Scholar

[14] Y.Mayer: Wavelets, Algorithms and Applications. SIAM, Philadelphia 1993.

Google Scholar

[15] I.Daubechies: Ten Lectures on Wavelets, , SIAM, Philadelphia 1992.

Google Scholar

[16] R.N. Bracewell: The Fourier Transform and Its Application, McGraw-Hill, New York, 1978.

Google Scholar

Scientific.Net is a registered brand of Trans Tech Publications Ltd
© 2024 by Trans Tech Publications Ltd. All Rights Reserved