This is my code repository for my Engineering Thesis. The goal of the thesis was to use three Supervised Machine Learning algorithms, being Support-vector machine, k-Nearest neighbors and Gaussian process regression to detect faults and predict abnormalities in behaviour of a wind turbine.

Data was acquired from a wind farm based in La Haute-Borne, France.
To acquire data used for this project, download .CSV file from this website:

https://opendata-renewables.engie.com/explore/index

Gb1t_SVM - Gearbox bearing temperature Support vector machine
Db1t_SVM - Generator bearing temperature Support vector machine
Gb1t_KNN - Gearbox bearing temperature K-Nearest neighbors
Db1t_KNN - Generator bearing temperature K-Nearest neighbors
Gb1t_GPR - Gearbox bearing temperature Gaussian process regression
Db1t_GPR - Generator bearing temperature Gaussian process regression