Monitoring and Detection of Wind Turbine Vibration with KNN-Algorithm

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]

Citations

"Monitoring and Detection of Wind Turbine Vibration with KNN-Algorithm"
written by Javier Vives,
published by Journal of Computer and Communications, Vol.10 No.7, 2022

has been cited by the following article(s):

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[2]	Comprehensive Fault Diagnostics and Performance Forecasting of Wind Turbines Through Condition Monitoring Solutions
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[3]	Ordinal few-shot learning with applications to fault diagnosis of offshore wind turbines
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[4]	K-nearest neighbour and K-fold cross-validation used in wind turbines for false alarm detection
	Sustainable Futures, 2023

[5]	SVM-Algorithm for Supervision, Monitoring and Detection Vibration in Wind Turbines
	Journal of Computer and Communications, 2022

[6]	Sustainable Futures

[1]	From data to fault diagnosis: Using predictive maintenance image transformation and nature-inspired optimization techniques for fault classification Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2026 DOI:10.1177/1748006X261430835

[2]	Wind turbine fault prognosis using SCADA measurements, pre-fault labeling, and KNN classifiers robust against data imbalance Measurement, 2025 DOI:10.1016/j.measurement.2024.116202

[3]	Comparative Study of Vibration-Based Machine Learning Algorithms for Crack Identification and Location in Operating Wind Turbine Blades AI, 2025 DOI:10.3390/ai6100242

[4]	An Embedded Machine Learning Fault Detection System for Electric Fan Drive Electronics, 2024 DOI:10.3390/electronics13030493

[5]	Ordinal few-shot learning with applications to fault diagnosis of offshore wind turbines Renewable Energy, 2023 DOI:10.1016/j.renene.2023.02.072

[6]	K-nearest neighbour and K-fold cross-validation used in wind turbines for false alarm detection Sustainable Futures, 2023 DOI:10.1016/j.sftr.2023.100132

[7]	SVM-Algorithm for Supervision, Monitoring and Detection Vibration in Wind Turbines Journal of Computer and Communications, 2022 DOI:10.4236/jcc.2022.1011004