MANTENIMIENTO PREDICTIVO UTILIZANDO MATLAB

Abstract

Predictive maintenance refers to the intelligent supervision of the equipment in order to avoid future failures. Unlike conventional preventive maintenance, the maintenance program is not determined by a prescribed schedule; instead, it is established by analytical algorithms that use the data collected by the equipment sensors. Algorithms are crucial to the success of predictive maintenance. The pre-processing of the sensor data is made by statistical techniques and advanced signal processing. In the present case, automatic learning techniques (Machine Learning) are used to calculate the state of the equipment. By using Matlab software, the measured variables of a Turbofan engine’s case is analyzed, which was exposed in a predictive maintenance seminar, by the engineer Gerardo Hernández Correa (Manager application engineer) on November 15th, 2017, at Marriot Hotel.