Research on bearing health state prediction based on multidimensional information average convolutional neural network

Injection molding machine can shape all kinds of precise size, complex shape of plastic products, related to all aspects of people's life, such as the national defense field, civil fields such as electronic industry, daily use industry, medical industry and medical industry. Therefore, it is of great significance to establish a health prediction model for injection molding machine and carry out condition monitoring. Bearing is one of the most important parts in the rotating parts of the injection molding machine. Analysis of the health state of the bearing can reflect the performance state of the injection molding machine to a certain extent. Taking bearings as the research object, this paper introduces deep learning and information average convolutional neural network (AICNN), and proposes a health state prediction method of rotating equipment based on multi-feature variable fusion.