(2026). Inferring wind turbine operational state and fatigue from high-frequency acceleration using self-supervised learning for SCADA (supervisory control and data acquisition)-free monitoring. Wind Energy Science.
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Chicago Style (17th ed.) Citation
"Inferring Wind Turbine Operational State and Fatigue from High-frequency Acceleration Using Self-supervised Learning for SCADA (supervisory Control and Data Acquisition)-free Monitoring."
Wind Energy Science 2026.
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MLA (9th ed.) Citation
"Inferring Wind Turbine Operational State and Fatigue from High-frequency Acceleration Using Self-supervised Learning for SCADA (supervisory Control and Data Acquisition)-free Monitoring."
Wind Energy Science, 2026.
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Warning: These citations may not always be 100% accurate.