Monitoring and Detection of Wind Turbine Vibration with KNN-Algorithm
Author:
Publisher
Scientific Research Publishing, Inc.
Subject
General Medicine
Reference20 articles.
1. Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train
2. Sánchez, P.J.B., Ramirez, I.S. and Márquez, F.P.G. (2021) Wind Turbines Acoustic Inspections Performed with UAV and Sound Frequency Domain Analysis. 2021 7th International Conference on Control, Instrumentation and Automation (ICCIA), Tabriz, 23-24 February 2021, 1-5.
3. Motif Analysis in Internet of the Things Platform for Wind Turbine Maintenance Management
4. Wind turbine blade failure case analysis and control measures
5. Study on Enhancement of Data Processing Algorithm in SaaS Cloud Infrastructure to Monitor Wind Turbine Condition
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1. An Embedded Machine Learning Fault Detection System for Electric Fan Drive;Electronics;2024-01-24
2. K-nearest neighbour and K-fold cross-validation used in wind turbines for false alarm detection;Sustainable Futures;2023-12
3. Ordinal few-shot learning with applications to fault diagnosis of offshore wind turbines;Renewable Energy;2023-04
4. SVM-Algorithm for Supervision, Monitoring and Detection Vibration in Wind Turbines;Journal of Computer and Communications;2022
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