The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems
Abstract
This paper provides a comprehensive survey on the state-of-the-art condition monitoring and fault diagnostic technologies for wind turbines (WTs). The Part I of this survey briefly reviews the existing literature surveys on the subject, discusses the common failure modes in the major WT components and subsystems, briefly reviews the condition monitoring and fault diagnostic techniques for these components and subsystems, and specifically discusses the issues of condition monitoring and fault diagnosis for offshore WTs.
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Citations
Cites
Condition Monitoring for Device Reliability in Power Electronic Converters: A Review
Yang, S., Xiang, D., Bryant, A., Mawby, P., Ran, L., & Tavner, P. (2010) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2010.2049377 · Cited by 1,278
Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
Widodo, A., Kim, E. Y., Son, J.-D., Yang, B.-S., Tan, A. C. C., Gu, D.-S., Choi, B.-K., & Mathew, J. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.09.033 · Cited by 324
Cited by
Lei, Y., Jia, F., Lin, J., Xing, S., & Ding, S. X. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2519325 · Cited by 1,191
Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
Zhang, W., Yang, D., & Wang, H. (2019) · IEEE Systems Journal · doi:10.1109/jsyst.2019.2905565 · Cited by 732
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
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
Condition Monitoring of Wind Turbine Generators Using SCADA Data Analysis
Jin, X., Xu, Z., & Qiao, W. (2021) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2020.2989220 · Cited by 209
Self-citation
Metadata
- Authors
- Qiao, W., & Lu, D.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2015-10
- Volume
- 62
- Issue
- 10
- Pages
- 6536-6545
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W1605077306
- Cited by
- 533
- References
- 2
- FWCI
- 39.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Qiao, W., & Lu, D. (2015). A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2015.2422112
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