Machine learning application in predictive maintenance

Abstract

Industrial organizations worldwide cannot ignore Industry 4.0 and its impact to their businesses. The biggest struggle is to find the way how to adopt all the possibilities for each plants unique use cases. In those situations where it is hard to find unified solutions internet is playing major part. Inseparable part of Industry 4.0 is Internet of Things (IoT) paradigm, where it is possible to connect all devices into united system. While robust Distributed Control Systems (DCS) are preferred for their safety, Industrial IoT (IIoT) allows next level prospects: big data performance analyzation, control patterns identification and predictive preventative maintenance by using machine learning algorithms. The study shows how implementing open-source software enables engineers to develop predictive maintenance applications with basic programming knowledge. These type of applications can be widely used in industrial field to inform about possible equipment malfunction helping reduce possible damages.