摘要
以列车牵引电机的核心部件滚动轴承为研究对象,通过振动加速度传感器采集振动数据计算特征指标,采用因子分析和逻辑回归的方法计算轴承的健康度,通过健康度对轴承状态进行监测,更早地发现轴承问题,进行维修或更换,降低运维成本,提高使用效率,提升用户满意度。
Making the rolling bearing, the core component of train traction motor,as the research object,the vibration data collected by the vibration acceleration sensor are used to calculate the characteristic indexes.Adopting the method of factor analysis and logistic regression to calculate the bearing health degree by which the bearing condition is monitored. Bearing problems are found earlier for repair or replacement, reducing operation and maintenance costs, improving service efficiency and customer satisfaction.
作者
阳咏梅
谭静
刘艳
YANG Yongmei;TAN Jing;LIU Yan(CRRC Yongji Electric Co. ,Ltd. ,Xi1 an 710016,China)
出处
《铁道机车与动车》
2019年第8期10-12,I0003,共4页
Railway Locomotive and Motor Car
关键词
轴承状态
逻辑回归
监测
bearing condition
logistic regression
monitoring
