Maintenance prédictive de l'état d'un groupe moteur-engrenage

Abstract

Despite the acceleration of technology especially in the industrial field, rotating machines still hold their position and their weight in the facilities. Then we need to develop and improve the functionality and the ability to predict the defects before causing unscheduled breakdowns on our machine which is synonym of loss of productivity. In this work we propose, in the field of predictive maintenance, a methodology for vibration analysis, of some equipment’s including (default on the bearings, default on the gearing, and default on the stator….); this is what will help us to accurately determine problems. The results were clear and effective which will allow us, in future, to observe the state of the equipment, to develop professional skills, to save time and make the most profitable production units.