It refers to a type of maintenance that is able to predict the failure of a component of a machine, in such a way that said component can be replaced, based on a well-determined plan, just before it fails. It allows to minimize the dead time of the equipment, while maximizing the lifetime of the component.
Published in Chapter:
How Artificial Intelligence Can Enhance Predictive Maintenance in Smart Factories
María A. Pérez-Juárez (University of Valladolid, Spain), Javier M. Aguiar-Pérez (University of Valladolid, Spain), Javier Del-Pozo-Velázquez (University of Valladolid, Spain), Miguel Alonso-Felipe (University of Valladolid, Spain), Saúl Rozada-Raneros (University of Valladolid, Spain), and Mikel Barrio-Conde (University of Valladolid, Spain)
Copyright: © 2022
|Pages: 15
DOI: 10.4018/978-1-7998-9201-4.ch004
Abstract
The Fourth Industrial Revolution, under the name of Industry 4.0, focuses on obtaining and using data to facilitate decision-making and thus achieve a competitive advantage. Industry 4.0 is about smart factories. For this, a series of technologies have emerged that communicate the physical and the virtual world, including Internet of Things, Big Data, and Artificial Intelligence. These technologies can be applied in many areas of the industry such as production, manufacturing, quality, logistics, maintenance, or security to improve the optimization of the production capacity or the control and monitoring of the production process. An important area of application is maintenance. Predictive maintenance is focused on monitoring the performance and condition of equipment during normal operation to reduce the likelihood of failures with the help of data-driven techniques. This chapter aims to explore the possibilities of using artificial intelligence to optimize the maintenance of the machinery and equipment components so that product costs are reduced.