Fault prediction has gained importance with Industry 4.0 paradigm. Nations, universities and several companies be research in this topic with the aim to optimize manufacturing process and reduce cost of equipment maintenance through create predictive models. The Heating, Ventilation and Air Conditioning Systems (HVAC) control in an important number of industries: in-door climate, air’s temperature, humidity and pressure, creating an optimal production environment. In this paper, the use of some machine learnings algorithms applied to HVAC System data set are review as an instrument for evaluate a fault predictive model.