Abstract: This paper presents the research and application of the full life cycle management for composite bearings. The study adopts monitoring data from condition recognition sensors and life prediction sensors to establish a full life cycle management model for real-time monitoring of bearing wear conditions.The condition recognition sensor monitors the bearing lubrication state in real time by detecting changes in electrical conductivity between the bearing and the mating pair. The life prediction sensor, based on the principle that the resistance of resistive materials increases with wear volume during the wear process, constructs a full life cycle management model to reflect the bearing wear volume in real time and predict the remaining service life of the bearing.Verified by practical application in the Liujiaxia 3F unit, the prediction error of the proposed method for bearing wear volume is less than 0.0025 mm, indicating high accuracy. It provides strong technical support for optimizing maintenance scheduling and realizing intelligent operation and maintenance.