Open Access
| Issue |
E3S Web Conf.
Volume 351, 2022
10th International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES’2022)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/e3sconf/202235101015 | |
| Published online | 24 May 2022 | |
- Saad Chakkor, Mostafa Baghouri, Abderrahmane Hajraoui, High Accuracy ESPRITTLS Technique for Wind Turbine Fault [Google Scholar]
- Bart de Ketelaere, Mia Hubert, and Eric Schmitt, Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data, 12 January 2018. [Google Scholar]
- B. Aubert “Détection des courts-circuits inter-spires dans les Générateurs Synchrones à Aimants Permanents: Méthodes basées modèles et filtre de Kalman étend-Application à un canal de génération électrique en aéronautique”, Thèse de doctorat, Toulouse, 2014. [Google Scholar]
- J. Chatelain “Machines électriques”, Edition Georgi, Lausanne, 1983 [Google Scholar]
- S. A. S. Al Kazzaz and G. K. Singh, “Experimental investigations on induction machine condition monitoring and fault diagnosis using digital signal processing techniques,” Electric Power Systems Research, vol. 65, pp. 197–221, 2003. [CrossRef] [Google Scholar]
- W. T. Thomson and R. J. Gilmore: Motor Current Signature Analysis to Detect Faults in Induction Motor Drives - Fundamentals, Data Interpretation, and Industrial Case Histories, Proceeding of the Thirty-Second Turbomachinery Symposium, Houston, Texas, Sept. 2003 [Google Scholar]
- A. Gheitasi, Motors Fault Recognition Using Distributed Current Signature Analysis, PhD Thesis, Auckland University of Technology, School of Engineering, 2013. [Google Scholar]
- Saad Chakkor, E-diagnostic de processus physiques à base des méthodes de haute résolution Application: machines éoliennes thèse doctorale, 22 juillet 2015. [Google Scholar]
- S.S. Mohamed; E.F. El-Saadany; T.K. Abdel-Galil; M.M.A. Salama, ANN-based technique for fault location estimation using TLS-ESPRIT, https://doi.org/10.110/MWSCAS.2003.1562484. [Google Scholar]
- Muhammet Unal, Mustafa Onat, Mustafa Demetgul, Haluk Kucuk, Fault diagnosis of rolling bearings using a genetic algorithm optimized neural network, https://doi.org/10.101/j.measurement.2014.08.041. [Google Scholar]
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