Open Access
| Issue |
MATEC Web Conf.
Volume 391, 2024
22nd International Conference Diagnostics of Machines and Vehicles “Hybrid Multimedia Mobile Stage” (ICDMV 2023)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 4 | |
| Section | Engineering Creativity for Contemporary Europe | |
| DOI | https://doi.org/10.1051/matecconf/202439101014 | |
| Published online | 02 February 2024 | |
- M. Szubartowski, K. Migawa, S. Borowski, L. Hujo, B. Kopiláková, Energies 17 (2024) [Google Scholar]
- D. McMillan, G.W. Ault, Towards quantification of condition monitoring benefit for wind turbine generators’, European Wind Energy Conf., (May 2007) [Google Scholar]
- P. Tchakoua, R. Wamkeue, M. Ouhrouche, F. Slaoui-Hasnaoui, T.A. Tameghe, G. Ekemb, Energies, 7 (2014) [Google Scholar]
- Y. Liu, S. Li, P.W. Chan, D. Chen, IEEE Trans. Sustain, Energy, 10 (2018) [Google Scholar]
- B.C.P. Lau, E.W.M. Ma, M. Pecht, Review of offshore wind turbine failures and fault prognostic methods, In Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing), Beijing, China, 23-25 May (2012) [Google Scholar]
- P.F. Odgaard, K.E. Johnson, Wind turbine fault detection and fault tolerant control-an enhanced benchmark challenge, In Proceedings of the 2013 American Control Conference, Washington, DC, USA, 17-19 June (2013) [Google Scholar]
- H. Habibi, I. Howard, S. Simani, A review, Renew, Energy, 135 (2019) [Google Scholar]
- K. Abid, M. Sayed Mouchaweh, L. Cornez, Fault prognostics for the predictive maintenance of wind turbines: State of the art, In Proceedings of the ECML PKDD 2018 Workshops: DMLE 2018 and IoTStream 2018, Dublin, Ireland Springer International Publishing: Cham, Switzerland (2019) [Google Scholar]
- C. Chia Chen, L. Jung-Ryul, B. Hyung-Joon, Meas. Sci. Technol., 19 (2008) [Google Scholar]
- P. Guo, D. Infield, and X. Yang, IEEE Trans. Sustain., Energy, 3, 1 (2012) [Google Scholar]
- Y. Wang, Y. Peng, Y. Zi, X. Jin, and K. L. Tsui, IEEE Trans. on Ind. Inform., 12, 3 (2016) [Google Scholar]
- S. Sheng, Tribol.T., 59, 1 (2016) [CrossRef] [Google Scholar]
- M. Chen, S. Mao, and Y. Liu, Mobile Netw. Appl., 19 (2014) [Google Scholar]
- D. Astolfi, F. Castellani, L. Scappaticci, L. Terzi, Diagnosis of wind turbine misalignment through SCADA data, Diagnostyka, 18, 1 (2017) [Google Scholar]
- M. Żółtowski, G. Rutkowska, M. Liss, T. Kałaczyński, M. Krejsa, Vibration Energy Signal Information for Measure Dynamic Preferences of Ceramic Building Materials Using Experimental Modal Analysis Methodology, Materials 2022, 15 (4), 1452 (2022) [Google Scholar]
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