Fuzzy Diagnostic Strategy Implementation for Gas Turbine Vibrations Faults Detection: Towards a Characterization of Symptom–fault Correlations
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42417-021-00373-z.pdf
Reference51 articles.
1. Benyounes A, Hafaifa A, Guemana M (2016) Gas turbine modelling based on fuzzy clustering algorithm using experimental data. J Appl Artif Intell Taylor Francis 30(1):29–51
2. Ye D, Li X (2020) Event-triggered fault detection for continuous-time networked polynomial-fuzzy-model-based systems. Appl Math Comput 366:124729
3. Alaei HK, Salahshoor K, Alaei HK (2013) A new integrated on-line fuzzy clustering and segmentation methodology with adaptive PCA approach for process monitoring and fault detection and diagnosis. Soft Comput 17:345–362
4. Sawaqed LS, Alrayes AM (2020) Bearing fault diagnostic using machine learning algorithms. Prog Artif Intell 9:341–350
5. Rahmoune MB, Hafaifa A, Kouzou A, Chen XQ, Chaibet A (2021) Gas turbine monitoring using neural network dynamic nonlinear autoregressive with external exogenous input modelling. Math Comput Simul 179:23–47
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