基于近似熵的直流牵引电动机健康监测方法  

Health Monitoring for DC Traction Motor Based on the Approximate Entropy

作　　者：刘剑慰[1] 姜斌[1] 杨蒲[1] 冒泽慧[1] 

机构地区：[1]南京航空航天大学自动化学院,南京210016

出　　处：《上海应用技术学院学报（自然科学版）》2015年第2期159-161,共3页Journal of Shanghai Institute of Technology: Natural Science

基　　金：国家自然科学基金资助项目(61490703)

摘　　要：针对直流牵引电动机健康状态估计缺乏有效的快速算法问题,提出了一种基于近似熵的直流牵引电动机健康状态实时分析方法.并对传统的近似熵计算方法用矩阵运算进行算法优化,提升了运算速度.针对直流电动机的电磁特性,融合待检测电动机的电流、电压、转速信号信息计算出电动机系统近似熵值,并依此判断电动机健康状态.最后,用直流电动机实验平台的数据验证了该方法的有效性.A real-time healthy state analysis method to DC traction motor based on the approximate entropy was described. In this method, matrices were used to optimize the calculation method of approximate entropy, which improved the operation speed. Aiming at detection motor characteristics, the data of the motor current, voltage and speed signal were fused by the method and the approximate entropy was colculated, and the motor health status was monitored. Lastly, the experiment results showed that this method had good effect on a DC motor system health estimates.

关 键 词：近似熵 健康监测 直流牵引电动机 

分 类 号：TM922.72[电气工程—电力电子与电力传动]