摘要详情

ID / 提交时间

28 / 2025-05-08 16:11:10

标题

Research on the Development Technology of Remaining UsefulLife Prediction Model for Reactor Coolant Pump Bearings

关键字

reactor coolant pump; thrust bearing; remaining useful life; predictive maintenance

主题及专题

4、System Monitoring, Fault Diagnosis and Prediction

状态

全文待审

作者

Yan Wang / College of Electronics and Information Engineering Sichuan University

Renyi Xu / Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China

Jianyong Lai / Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China

Chengxiao Kuang / Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China

Shu Su / Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China

Xin Tan / Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China

Ning Zhou / Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China

摘要

Aiming at the problems that the theoretical calculation model for predicting the remaining life of main pump bearings is difficult to be established accurately and that the predictive maintenance lacks practical life assessment means, this study proposes and constructs a set of data-driven life assessment model for main pump bearings, which makes use of the data from the operating status of the bearings to preliminarily determine whether the bearings are worn out or not. Then a model for calculating the wear rate of bearings operating in the boundary lubrication region is used to estimate the total wear of bearings when they are continuously working in the wear-prone region, based on the wear rate of bearings operating in the boundary lubrication region. In addition, this study also considers the wear rate of bearings during the start-up and stopping phases, and evaluates the cumulative wear over the entire range of operating durations by using a model for calculating the wear rate of bearings during the start-up and stopping phases. This study provides an important technical support for subsequent predictive maintenance of rotating equipment, which can significantly improve operational safety and efficiency.