Fault Diagnosis Method for Wind Turbine Gearbox Based on Ensemble-Refined Composite Multiscale Fluctuation-Based Reverse Dispersion Entropy. [PDF]
Entropy (Basel)Wang X, Du Y.
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Drive Train Normal Modes Analysis for the ERDA/NASA 100-Kilowatt Wind Turbine Generator [PDF]
Natural frequencies, as a function of power were determined using a finite element model. Operating conditions investigated were operation with a resistive electrical load and operation synchronized to an electrical utility grid. The influence of certain
Miller, D. R. +2 more
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Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. [PDF]
Entropy (Basel)Wang X, Du Y.
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Wear Analysis of Wind Turbine Gearbox Bearings [PDF]
, 2010 Peter Julian Blau +5 more
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Research on a Wind Turbine Gearbox Fault Diagnosis Method Using Singular Value Decomposition and Graph Fourier Transform. [PDF]
Sensors (Basel)Chen L, Zhang X, Li Z, Jiang H.
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An Online Digital Imaging Excitation Sensor for Wind Turbine Gearbox Wear Condition Monitoring Based on Adaptive Deep Learning Method. [PDF]
Sensors (Basel)Tao H, Zhong Y, Yang G, Feng W.
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Correction: Wang, X.; Du, Y. Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. Entropy 2024, 26, 507. [PDF]
Entropy (Basel)Wang X, Du Y.
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State reliability analysis methods for nonlinear systems integrating adaptive entropy weighted grey relation and Dempster-Shafer's Theory. [PDF]
PLoS OneGou L, Zhang J, Qi L, Wen L.
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Early prediction of wind turbine anomalies using 1D-CNN and temporal feature engineering on multi-source SCADA data. [PDF]
Sci RepAta MM, Osama S, Ibraheem MR, Abas AR.
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Virtual Load Sensing for Wind Turbine Gearboxes
Over the last decade, the total installed capacity of wind power generation has increased significantly, reaching 837 GW and 63 GW for onshore and offshore wind, respectively. This trend is expected to continue and even accelerate according to recent forecasts, driven by societal and political motives to avoid harmful climate change, achieve energy ...
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