Thomas M.
Also known as: Marc Thomas
École de technologie supérieure, Université de Sherbrooke Faculté des Sciences
About
Marc Thomas, Eng.
Dipl. Eng.(INSA, Lyon), M.Sc.A, Ph.D.(Université de Sherbrooke)
Professor Marc Thomas is an expert both in theoretical and experimental vibration and machinery maintenance. He is the director of the DYNAMO laboratory in process, machinery and structural dynamics. He is titular professor at ETS in the mechanical engineering department since 20 years. Previously, Professor Thomas has been the leader of the structural Dynamics team of the Quebec Industrial Research Center (CRIQ) during 11 years. He has published over 700 articles and supervised over 16 Master and 18 Ph.D. students. He now is member of the Canadian Machinery Vibration Association (CMVA).
Employment
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École de technologie supérieure Professeur titulaire1992 - Present
Education
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Université de Sherbrooke Faculté des Sciences Doctorat ( Ph.D.)1978 - 1986
Projects & Funding
Projects & funding information is unavailable.
Publications (115)
- Performance analysis of four-pad hydrostatic squeeze film dampers loaded between pads under laminar and turbulent flow conditions Save
- Output-only identification of modal shape coupling in a flexible robot by vector autoregressive modeling Save
- A hybrid method combining Teager Kaiser energy operator, empirical mode decomposition and minimum entropy deconvolution for monitoring gears damages Save
- Bearing fault detection using motor current signal analysis based on wavelet packet decomposition and Hilbert envelope Save
- Chatter detection in milling machines by neural network classification and feature selection Save
- Complexity based on synchrosqueezing analysis in gear diagnosis Save
- Experimental Shock and Vibration Analysis Save
- Modeling and monitoring of tooth fillet crack growth in dynamic simulation of spur gear set Save
- Monitoring gears by vibration measurements: Lempel-Ziv complexity and approximate entropy as diagnostic tools Save
- Nonlinear Parameters for Monitoring Gear: Comparison between Lempel-Ziv, Approximate Entropy, and Sample Entropy Complexity Save