The aim of this dissertation is to bring together the work carried out on the development of machine learning techniques for the creation of new fault prevention algorithms within Iveco heavy range vehicles. In particular, the Additional Water Heater is considered: the goal is to foresee its potential lock twelve hours in advance. The dissertation is structured in seven chapters and relative paragraphs, which order is in according to the actual path followed during the work development. In “Chapter 1”, an overview of Iveco is offered both from a historical and organizational point of view. In “Chapter 2”, all the features related to the new generation vehicles are described, stressing the role of telematics and connectivity made possible by a new electrical system.