PREDICTIVE MAINTENANCE SUPPORTED BY IIOT TECHNOLOGIES

Abstract

This paper describes new predictive maintenance trends and techniques. By applying new technologies within Industry 4.0, such as the Internet of Things, i.e., by processing data from many sensors, it is possible to identify potential problems in production facilities much before a failure occurs. Therefore, the paper describes a model of predictive maintenance using Industrial Internet of Things. It shows the architecture of predictive maintenance and its implementation on the 3D printer at the Learning Factory, University of Mostar. In addition to these technologies, for the full functioning of predictive maintenance, tools for processing and analysis of collected data such as machine learning methods are needed. Therefore, the paper presents ready-made machine learning solution. The paper shows that with modern technologies, such as the Internet of Things and Big Data Analysis, it is possible to integrate automated systems with IT systems, to better control and manage them, especially in the field of maintenance. Also, the goal of this paper is to contribute to the development of modern solutions in the field of predictive maintenance, the implementation of which in companies is one of the basic foundations for sustainable progress on the path of Industry 4.0.