The Discussion of Fusion Improved Method about Relevance Vector Machine for Life Prediction

To reduce the high cost of post-failure maintenance and regular maintenance, Prognostic and Health Managements (PHM) technologies are increasingly expensive. As the core step of PHM, life prediction is of great significance. In this paper, the fusion life prediction model based on Relevance Vector Machine (RVM) is introduced, and its research status is summarized. At the same time, the basic RVM model is selected as an example to demonstrate the prediction effect, which proves that the RVM model has research value in the electronic field of life prediction, and there is still a large room for improvement, and looks forward to the next possible research direction.