Charla 3 - Máquinas que hablan a través de sus datos

This video presents the talk "Machines That Speak Through Their Data" from the Industry 4.0 Seminar. It addresses the practical application of artificial intelligence in predictive maintenance within the context of Industry 4.0. Using a script developed in MATLAB, it analyzes how motor sensor data can be processed as time series and used to train an LSTM-type neural network. The model allows for estimating remaining useful life (RUL), demonstrating how failures can be anticipated through data analysis. The presentation also reflects on the model's performance, its limitations, and its potential application in real-world industrial environments.