How Artificial Intelligence Can Enhance Predictive Maintenance in Smart Factories

Citations Over TimeTop 10% of 2022 papers

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.

Related Papers

• → Smart Predictive Maintenance Enabled by Digital Twins and Smart Big Data: A New Framework(2022)9 cited
• → Process hazard analysis quality(2009)5 cited
• → A Cyber Physical System Framework for Industrial Predictive Maintenance Using Machine Learning(2022)3 cited
• → Two-stage decision support for production ramp-up(2011)
• → ASSESSMENT OF PRODUCTION AND TECHNOLOGICAL RISKS IN THE ACTIVITIES OF VETMEDICINE ENTERPRISES(2022)