Digital transformation in Industry 4.0 Using Vibration Sensors and Machine Learning

Abstract

The paper presents industry 4.0 scenario for predictive maintenance based on 3-axis accelerometer sensors and AI platform for monitoring of the machines. The prototype of the service is developed for a company to monitor their machinery for manufacturing of enameled, stainless steel and non-stick cookware (using vibration sensors and data collected from processes). The goal was to provide proof of concept of the predictive maintenance in an industry environment. To achieve this, we have created a mean for evaluating longevity of the equipment using traveled distance as a measure. The travel distance represents a level of vibration that sensor detects while listening to a machine operations in a long term.