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Wind turbine condition monitoring by the approach of SCADA data analysis
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Cited by
A review of wind turbine bearing condition monitoring: State of the art and challenges
de Azevedo, H. D. M., Araújo, A. M., & Bouchonneau, N. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.11.032 · Cited by 382
The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review
Liu, W. Y., Tang, B. P., Han, J. G., Lu, X. N., Hu, N. N., & He, Z. Z. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.12.005 · Cited by 300
Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information
Jiang, G., Xie, P., He, H., & Yan, J. (2018) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2759301 · Cited by 288
Igba, J., Alemzadeh, K., Durugbo, C., & Eiriksson, E. T. (2016) · Renewable Energy · doi:10.1016/j.renene.2016.01.006 · Cited by 177
Lipu, M. S. H., Miah, M. S., Hannan, M. A., Hussain, A., Sarker, M. R., Ayob, A., Saad, M. H. M., & Mahmud, M. S. (2021) · IEEE Access · doi:10.1109/access.2021.3097102 · Cited by 121
Metadata
- Authors
- Yang, W., Court, R., & Jiang, J.
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 53
- Pages
- 365-376
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W2044883611
- Cited by
- 400
- References
- 0
- FWCI
- 30.25
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Yang, W., Court, R., & Jiang, J. (2013). Wind turbine condition monitoring by the approach of SCADA data analysis. Renewable Energy. https://doi.org/10.1016/j.renene.2012.11.030
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
