RETRACTED ARTICLE: Enterprise technology innovation and production performance based on machine learning and IoT artificial intelligence system

Abstract

Repairing industrial equipment in accordance with the traditional maintenance model not only requires more maintenance expenses, but also sometimes causes irreversible damage to the equipment due to the inability to repair the equipment in time. The application of artificial intelligence technology to the maintenance mode of industrial equipment can not only reduce maintenance costs to a great extent, but also repair the equipment in time when the equipment fails. Because the theory of applying artificial intelligence technology to the maintenance of mechanical equipment was proposed late, the application of artificial intelligence technology in the field of mechanical maintenance at home and abroad is not extensive. Because of this, the research on many intelligent models is still in the theoretical stage, and because of the few examples, the correctness of many theories is still difficult to determine. In this context, based on the application status of intelligent maintenance mode and industrial Internet of things, this article takes the most widely used rolling bearing component design as the research object, combines industrial data collection technology and computer learning fault diagnosis algorithm, and proposes a new type of intelligent equipment fault Diagnosis system. My country’s industry has achieved outstanding results since the founding of the country, and every industry that has developed too rapidly is facing the problems of excessive industrial factors, difficulties in industrial transformation, and stagnant industrial development. Therefore, if we want to ensure that my country’s industry maintains a good state of development for a long time, we must change the industrial structure of my country's industry, optimize the industrial production model, reduce the input of industrial factors, and carry out economic transformation.