Feasibility study on machine learning techniques applied to predict train incidents: A catenary occurrence log case study

Railway sector will take the lead in the transport arena in the coming years. Occurrences which may lead to a safety and economic downgrade should be minimized. In order to improve the traditional methods of prevention and maintenance, Data Science and, especially, Machine Learning algorithms, have introduced a paradigm shift.