THE ROLE OF MODERN ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE CREATION AND DEVELOPMENT OF AUTOMATED PREDICTIVE AND PRESCRIPTIVE MAINTENANCE SYSTEMS IN INDUSTRY

Palyukh Boris Vasilievich, Chesalov Alexander Urievich

The main objective of this study is to identify the main advanced information technology areas and technologies that need to be created, developed and used in modern automated predictive and prescriptive maintenance systems for multi-stage technological processes in industry. The study resulted in the formation of a list of priority production automation tasks in conjunction with modern technologies and artificial intelligence (AI) technologies in the context of the transition from the concept of the digital economy to the data economy. An analysis was made of the possibility of integrating AI with such systems as a production management system, an enterprise asset management system, a resource planning system, a product quality management system, and a computerized maintenance management system. This research enables scientists and engineers to accelerate the process of finding optimal solutions to manufacturing design problems and creating automated predictive and prescriptive maintenance systems. Integrating AI technologies with manufacturing systems enables the creation of intelligent manufacturing environments that can adapt to changes and optimize processes in real time. Such systems can improve the efficiency of manufacturing processes, reduce equipment maintenance costs, and improve product quality.

Keywords:predictive maintenance, industrial Internet of Things, edge artificial intelligence, manufacturing execution system, computerized maintenance management system, industrial ecosystem