Abstract
The accurate maintenance planning of self-propelled forest machines employed in wood harvesting can be carried out through the approach of statistical methods of machine learning, as it provides detailed analyzes from the processing of large volumes of data. That said, the objective will be to verify if the models generated by machine learning by classification, will reach precision for t…