摘要
针对列车滚动轴承剩余寿命的精确预测问题,融合状态监测与可靠性数据,提出一种基于比例风险模型(PHM)的列车滚动轴承剩余寿命预测方法;给出基于PHM的寿命预测算法,详细阐述样本数据获取、参数估计和寿命预测3个具体步骤,并通过全寿命周期滚动轴承实验数据,对所提出方法进行验证。结果表明:PHM输出的预测结果均方根误差为45.73,与目标结果的一致性超过0.9。
For accurately predicting the residual life of rolling bearings of rail vehicles, with comprehensive utilization of monitoring data and reliability data,the residual life prediction method was proposed based on proportional hazard model （PHM）. Three specific steps of the proposed life prediction method were described in detail, including sample data collection, parameter estimation and life prediction. The experiment was carried out by using of vibration data and failure event data of rolling bearings＇ full life cycle. The experimental results show that the root mean square error of PHM outputs is 45.73 and the correlation coefficient between PHM outputs and targets is greater than 0.9, which verifies the effectiveness and feasibility of the proposed residual life prediction approach based on PHM.
作者
张媛
秦勇
杜艳平
高振清
魏秀琨
ZHANG Yuan QIN Yong DU Yanping GAO Zhenqing WEI Xiukun(School of Mechanical Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China)
出处
《济南大学学报（自然科学版）》
CAS
北大核心
2016年第5期347-352,共6页
Journal of University of Jinan(Science and Technology)
基金
轨道交通控制与安全国家重点实验室(北京交通大学)开放课题基金(RCS2016K005)
城市轨道交通车辆服役性能保障北京市重点实验室研究基金(06080915001)
北京印刷学院博士启动基金(27170115005/001)
关键词
列车滚动轴承
剩余寿命预测
比例风险模型
rolling bearings of rail vehicles
remaining life prediction
proportional hazard model
