Predictive Maintenance Using Recurrent Neural Networks

This document discusses using recurrent neural networks for predictive maintenance. It begins by providing context on industry 4.0 and the growth of industrial automation. It then discusses predictive maintenance and how sensor data from industrial equipment can be used for failure prediction. The document outlines how a recurrent neural network model could be developed using streaming sensor data from manufacturing devices to identify abnormal behavior and predict needed maintenance. It describes the workflow of importing and preparing the data, developing and testing the model, and deploying it to generate alerts from new streaming data.