Thesis supervisor: Imre Kocsis
Location of studies (in Hungarian): Debreceni Egyetem Informatikai Kar Abbreviation of location of studies: DE IK
Description of the research topic:
Machinery condition monitoring and technical diagnostics are intensively studied fields of mechanical engineering. Nowadays the development of effective data processing techniques is in the focus of the research in this area.
In the world of high speed and high capacity measuring systems the effectiveness of machinery condition monitoring depends first of all on the data processing methods applied.
Research is based on the infrastructure of the Diagnostics Laboratory of the Faculty of Engineering and the industrial partners of the faculty
Bibliography:
Boualem Boashash (ed.), Time Frequency Signal Analysis and Processing, Elsevier, 2003
Smith, S.W., The Scientist and Engineer's Guide to Digital Signal Processing (http://www.dspguide.com)
Leis, Digital Signal Processing Using MATLAB, John Wiley & Sons, Inc., 2011.
Gonzalez, R.C., Digital Image Processing, Prentice Hall, 2002
Machine Condition Monitoring Technical Library, National Instruments (http://www.ni.com/white-paper//6511/en/)
Allan G. Piersol, Thomas L. Paez (ed.), Harris’ Shock And Vibration Handbook, McGraw Hill, 2010
Girod, Rabenstein, Stenger, Signals and Systems, Wiley, 2000
Taylor, The Vibration Analysis Handbook, The Gear Analysis Handbook, The Bearing Analysis Handbook
Recommended language skills (in Hungarian): angol Number of students who can be accepted: 1
Deadline for application: 2018-05-15
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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