Detection and Modeling Vibrational Behavior of a Gas Turbine Based on Dynamic Neural Networks Approach Cover

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Detection and Modeling Vibrational Behavior of a Gas Turbine Based on Dynamic Neural Networks Approach

Strojnícky časopis - Journal of Mechanical Engineering

Volume 68 (2018): Issue 3 (November 2018)

By: Mohamed Benrahmoune, Hafaifa Ahmed, Guemana Mouloud and Chen XiaoQi

Open Access

|Dec 2018

Authors

Mohamed Benrahmoune

M.benrahmoune@univ-djelfa.dz

Applied Automation and Industrial Diagnostics Laboratory, University of Djelfa,, Djelfa, Algeria

Gas Turbine Joint Research Team, University of Djelfa,, Djelfa, Algeria

Hafaifa Ahmed

hafaifa.ahmed.dz@ieee.org

Applied Automation and Industrial Diagnostics Laboratory, University of Djelfa,, Djelfa, Algeria

Gas Turbine Joint Research Team, University of Djelfa,, Djelfa, Algeria

Guemana Mouloud

guemana.mouloud@univ-medea.dz

Science and Technology Faculty, Médéa University,, Médéa, Algeria

Chen XiaoQi

xiaoqi.chen@canterbury.ac.nz

Department of Mechanical Engineering, University of Canterbury,, Christchurch, New Zealand

DOI: https://doi.org/10.2478/scjme-2018-0032 | Journal eISSN: 2450-5471 | Journal ISSN: 0039-2472

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Language: English

Page range: 143 - 166

Published on: Dec 6, 2018

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

vibrations monitoring,

model based faults detection,

dynamic neural networks

Related subjects:

Mechanical engineering,

Fundamentals of mechanical engineering,

© 2018 Mohamed Benrahmoune, Hafaifa Ahmed, Guemana Mouloud, Chen XiaoQi, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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