The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review
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Citations
Cites
Condition monitoring of wind turbines: Techniques and methods
García Márquez, F. P., Tobias, A. M., Pinar Pérez, J. M., & Papaelias, M. (2012) · Renewable Energy · doi:10.1016/j.renene.2012.03.003 · Cited by 878
Wind turbine condition monitoring by the approach of SCADA data analysis
Yang, W., Court, R., & Jiang, J. (2013) · Renewable Energy · doi:10.1016/j.renene.2012.11.030 · Cited by 400
Mohseni, M., & Islam, S. M. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.03.039 · Cited by 327
Feng, Z., Liang, M., Yi, Z., & Hou, S. (2012) · Renewable Energy · doi:10.1016/j.renene.2012.04.019 · Cited by 318
Schlechtingen, M., Santos, I. F., & Achiche, S. (2013) · Applied Soft Computing · doi:10.1016/j.asoc.2012.08.033 · Cited by 311
Analyzing bearing faults in wind turbines: A data-mining approach
Kusiak, A., & Verma, A. P. (2012) · Renewable Energy · doi:10.1016/j.renene.2012.04.020 · Cited by 223
Feng, Z., Chen, X., & Liang, M. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2014.07.009 · Cited by 210
He, W., Zi, Y., Chen, B., Wu, F. C., & He, Z. (2014) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2014.09.007 · Cited by 202
Self-citationReview of structural health and cure monitoring techniques for large wind turbine blades
Schubel, P. J., Crossley, R. J., Boateng, E. K. G., & Hutchinson, J. R. (2013) · Renewable Energy · doi:10.1016/j.renene.2012.08.072 · Cited by 192
Tang, B., Song, T., Li, F., & Deng, L. (2013) · Renewable Energy · doi:10.1016/j.renene.2013.06.025 · Cited by 187
Self-citation
Cited by
Hossain, E., Khan, I., Un-Noor, F., Sikander, S. S., & Sunny, M. S. H. (2019) · IEEE Access · doi:10.1109/access.2019.2894819 · Cited by 513
Martinez-Luengo, M., Kolios, A., & Wang, L. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.05.085 · Cited by 310
An Overview on Fault Diagnosis, Prognosis and Resilient Control for Wind Turbine Systems
Gao, Z., & Liu, X. (2021) · Processes · doi:10.3390/pr9020300 · Cited by 281
Multiple wavelet coefficients fusion in deep residual networks for fault diagnosis
Zhao, M., Kang, M., Tang, B., & Pecht, M. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2866050 · Cited by 174
Self-citationXie, J., Du, G., Shen, C., Chen, N., Chen, L., & Zhu, Z. (2018) · IEEE Access · doi:10.1109/access.2018.2877447 · Cited by 78
Metadata
- Authors
- Liu, W. Y., Tang, B. P., Han, J. G., Lu, X. N., Hu, N. N., & He, Z. Z.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 44
- Pages
- 466-472
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2062658440
- Cited by
- 300
- References
- 19
- FWCI
- 25.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review. https://app.cochat.ai/papers/10.1016/j.rser.2014.12.005
- The paper
- Liu, W. Y., Tang, B. P., Han, J. G., Lu, X. N., Hu, N. N., & He, Z. Z. (2015). The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2014.12.005
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.
