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Brief description
The aim of the research project is to develop an AI-based monitoring system for a plastic plain bearing, which will enable precise condition-based maintenance in real time. To this end, a monitoring system is being developed that can be directly integrated into the manufacturing process of the plastic plain bearing. In addition, the AI-based monitoring system is intended to enable continuous monitoring of the degree of wear. This will also make it possible to detect periods of increased wear and provide the user with the means to adjust the load. The user can thus be provided with an estimate of the remaining service life in operating hours from the moment the bearing is commissioned. Data transmission is to take place via Wi-Fi, and the remaining service life is to be displayed on a user interface. Functionality will be verified through long-term testing, both mechanically and electrically. Furthermore, an efficient manufacturing technology is to be developed, and functional samples and prototypes are to be produced for the necessary experimental investigations.
