永磁操作机构储能电容的状态评估与预测  

Condition Assessment and Prediction of Energy-storage Capacitors Used in Permanent Magnetic Mechanism

作　　者：牟龙华[1] 刘晓明[1] 张鑫[1] 

机构地区：[1]同济大学电子与信息工程学院,上海201804

出　　处：《同济大学学报（自然科学版）》2013年第12期1903-1909,共7页Journal of Tongji University:Natural Science

基　　金：国家自然科学基金(51207110);上海市科学技术委员会资助(12ZR1451300);上海市教育委员会科研创新项目(11CXY12)

摘　　要：真空开关永磁机构储能电容的失效诊断是实际应用中未解决的重要问题.基于永磁机构的工作原理,分析了其储能电容(电解电容)主要的退化机理与等效模型,选择等效串联电阻和电容量作为故障特征参数,提出了基于系统辨识理论的储能电容状态评估方法,利用最小二乘支持向量机(LSSVM)算法实现了对等效串联电阻和电容量值的预测,分析了未来时刻电解电容的状态变化.仿真实例验证了该评估与预测方法的有效性.The failure detection of the energy-storage capacitor is an important issue to be solved in permanent magnetic actuator for vacuum switch. Based on the operating principle of permanent magnetic mechanism, the degradation mechanism of the energy-storage capacitor （electrolytic capacitor） and equivalent circuit model were studied. The equivalent series resistance （REsR） and capacitance （C） values were selected as feature parameters to identify the faults. An assessment method was proposed by introducing the system identification theory. Furthermore, the least squares support vector machine （LS-SVM） algorithm was used to predict the values of RESR and C, then the capacitor＇s condition changes could be obtained and analyzed. show the effectiveness of this method. The simulation experiments assessment and prediction

关 键 词：永磁操作机构 储能电容 参数辨识 故障预测 最小二乘支持向量机 

分 类 号：TM561[电气工程—电器]