This thesis explores the enhancement of photovoltaic (PV) system reliability through the development and optimisation of machine learning algorithms for proactive fault detection. Utilising data from
This dataset comprises five categories of bearing signals: Ball fault (Ball), Inner ring fault (Inner), Outer ring fault (Outer), Combined fault involving both the inner and outer rings (Comb), and He
