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Strojnícky časopis - Journal of Mechanical Engineering
Volume 68 (2018): Issue 3 (November 2018)
Open Access
Detection and Modeling Vibrational Behavior of a Gas Turbine Based on Dynamic Neural Networks Approach
Mohamed Benrahmoune
Mohamed Benrahmoune
,
Hafaifa Ahmed
Hafaifa Ahmed
,
Guemana Mouloud
Guemana Mouloud
and
Chen XiaoQi
Chen XiaoQi
| Dec 06, 2018
Strojnícky časopis - Journal of Mechanical Engineering
Volume 68 (2018): Issue 3 (November 2018)
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Published Online:
Dec 06, 2018
Page range:
143 - 166
DOI:
https://doi.org/10.2478/scjme-2018-0032
Keywords
Gas turbine
,
vibrations monitoring
,
model based faults detection
,
dynamic neural networks
© 2018 Mohamed Benrahmoune, et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Mohamed Benrahmoune
Applied Automation and Industrial Diagnostics Laboratory, University of Djelfa,
Djelfa, Algeria
Gas Turbine Joint Research Team, University of Djelfa,
Djelfa, Algeria
Hafaifa Ahmed
Applied Automation and Industrial Diagnostics Laboratory, University of Djelfa,
Djelfa, Algeria
Gas Turbine Joint Research Team, University of Djelfa,
Djelfa, Algeria
Guemana Mouloud
Science and Technology Faculty, Médéa University,
Médéa, Algeria
Chen XiaoQi
Department of Mechanical Engineering, University of Canterbury,
Christchurch, New Zealand