Dynamic Diagnosis of Elastic Coupling Transmissions of Technological Equipments Based on Joint Time-Frequency Evaluations

Article Preview

Abstract:

This work presents a practical solution intended for dynamic diagnosis of the technical systems based on a set of computational methods for processing and analyzing of the acquired signals. This ensemble of methods leads to the joint time-frequency evaluations and assures a multiple way to estimate the potential damages of certain parts of the tested system. Short-Time-Fourier-Transformation, Cepstrum analysis, power spectral density estimate, together with a group of stochastic estimators composes the structured procedure for dynamic diagnosis. The proposed approach of dynamic diagnosis combines the advantages of the time domain analysis, such as the simplicity and the possibility of parameters investigation during their time evolution, with the power of spectral complex evaluations, sustained by the distribution and shifting trend of spectrum. Hereby it has provided a suitable tool for characterization of spectral composition changes in time during the entire experimental tests. This information is able to reveal the dynamic behaviour changes of supervised parts, components or entire system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

465-469

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A.B.R. Sulaiman, S.T. Abed, Matlab-Based Design and Implementation of Time-Frequency Analyzer, Al-Rafidain Engineering, vol. 15, no. 3, (2007), 60-72.

DOI: 10.33899/rengj.2007.45055

Google Scholar

[2] El.H. Bouchikhi, V. Choqueuse, M.E.H. Benbouzid, J.F. Charpentier, G. Barakat, A Comparative Study of Time-Frequency Representations for Fault Detection in Wind Turbine, 978-1-61284-972-0/11/$26. 00, (2011) IEEE, 3584-3589.

DOI: 10.1109/iecon.2011.6119891

Google Scholar

[3] A. Leopa, S. Nastac, C. Debeleac, Researches on damage identification in passive vibro-isolation devices, Shock and Vibration, Volume 19, Issue 5, pp.803-809, (2012), DOI: 10. 3233/SAV-2012-0689.

DOI: 10.1155/2012/374547

Google Scholar

[4] M. Sandsten, Time-Frequency Analysis of Non-Stationary Processes, An Introduction, Lund University, Centre for Mathematical Sciences, (2013).

Google Scholar

[5] B.D. Hahn, D.T. Valentine, Essential MATLAB for Engineers and Scientists, Third edition, Elsevier, (2007).

Google Scholar

[6] M. Gafitanu, Sp. Cretu, B. Dragan, Diagnosticarea vibroacustica a masinilor si utilajelor (Acoustics and Vibratory Diagnosis of Machines and Equipments), Ed. Tehnica, Bucuresti, (1989).

Google Scholar

[7] K. Shin, J.K. Hammond, Fundamentals of Signal Processing for Sound and Vibration Engineers, John Wiley & Sons, (2008).

Google Scholar