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Windturbineclassification ⭐ 49

My master's dissertation on wind turbine fault prediction using machine learning

Dcic The Estimation Of Scada Data Loss In Offshore Wind Farm ⭐ 35

We extract actual SCADA data of a certain offshore wind farm and artificially remove some of the data, including but not limited to deleting all data of a certain time period, data of a certain turbine at a certain time, some fields of a certain turbine at a certain time, etc. The applicant needs to use the remaining data to recover the deleted data, and the accuracy of the recovery shall be the final evaluation benchmark

Wt_fault_identification ⭐ 33

Wind Turbine Fault Identification using Machine Learning Techniques applied to SCADA data

Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm

SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd

Supplementary data for utilising knowledge graph databases towards explainable decision support in wind turbines.

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