A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system
Summary
A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system is a scholarly article[1].
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A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-data-driven-group-sparse-feature-extraction-method-for-fault-detection-of-wind-turbine-transmission-system
BibTeX@misc{4ortxyz_a-data-driven-group-sparse-feature-extraction-method-for-fault-detection-of-wind-turbine-transmission-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system}}, year = {2026}, url = {https://4ort.xyz/entity/a-data-driven-group-sparse-feature-extraction-method-for-fault-detection-of-wind-turbine-transmission-system}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system — https://4ort.xyz/entity/a-data-driven-group-sparse-feature-extraction-method-for-fault-detection-of-wind-turbine-transmission-system (retrieved 2026-05-24)
