Logistic regression and feature extraction based fault diagnosis of main bearing of wind turbines

Research article (2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), 2016) · cited 23× · AI/ML
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Logistic regression and feature extraction based fault diagnosis of main bearing of wind turbines

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Logistic regression and feature extraction based fault diagnosis of main bearing of wind turbines is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Logistic regression and feature extraction based fault diagnosis of main bearing of wind turbines. Retrieved May 24, 2026, from https://4ort.xyz/entity/logistic-regression-and-feature-extraction-based-fault-diagnosis-of-main-bearing-of-wind-turbines
MLA “Logistic regression and feature extraction based fault diagnosis of main bearing of wind turbines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/logistic-regression-and-feature-extraction-based-fault-diagnosis-of-main-bearing-of-wind-turbines.
BibTeX @misc{4ortxyz_logistic-regression-and-feature-extraction-based-fault-diagnosis-of-main-bearing-of-wind-turbines_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Logistic regression and feature extraction based fault diagnosis of main bearing of wind turbines}}, year = {2026}, url = {https://4ort.xyz/entity/logistic-regression-and-feature-extraction-based-fault-diagnosis-of-main-bearing-of-wind-turbines}, note = {Accessed: 2026-05-24}}
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