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Diagnosing wind turbine faults using machine learning techniques applied to operational data

Research article (2016 IEEE International Conference on Prognostics and Health Management (ICPHM), 2016) · cited 131× · AI/ML
academia openalex:W2513938116
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Diagnosing wind turbine faults using machine learning techniques applied to operational data

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Diagnosing wind turbine faults using machine learning techniques applied to operational data is a scholarly article[1].

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  • Diagnosing wind turbine faults using machine learning techniques applied to operational data's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Diagnosing wind turbine faults using machine learning techniques applied to operational data. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnosing-wind-turbine-faults-using-machine-learning-techniques-applied-to-operational-data
MLA “Diagnosing wind turbine faults using machine learning techniques applied to operational data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnosing-wind-turbine-faults-using-machine-learning-techniques-applied-to-operational-data.
BibTeX @misc{4ortxyz_diagnosing-wind-turbine-faults-using-machine-learning-techniques-applied-to-operational-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnosing wind turbine faults using machine learning techniques applied to operational data}}, year = {2026}, url = {https://4ort.xyz/entity/diagnosing-wind-turbine-faults-using-machine-learning-techniques-applied-to-operational-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diagnosing wind turbine faults using machine learning techniques applied to operational data — https://4ort.xyz/entity/diagnosing-wind-turbine-faults-using-machine-learning-techniques-applied-to-operational-data (retrieved 2026-05-24)

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