基于断路器动作特征参数的合闸弹簧储能状态预测  

Prediction of Closing Spring's Energy- storing State Based on Circuit Breaker's Running Characteristic Parameters

作　　者：代文芳[1] 赵思洋[2] 曾国[1] 李鹏飞[2] 李俊[1] 周文俊[2] 贺攀[1] 严国志[2] 

机构地区：[1]国网黄石供电公司,湖北黄石435000 [2]武汉大学电气工程学院,湖北武汉430072

出　　处：《仪表技术与传感器》2015年第8期107-110,共4页Instrument Technique and Sensor

摘　　要：为实现在检修时对运行中断路器的合闸弹簧储能状态进行诊断,利用压力传感器、光电编码器和电流互感器在LW25-126瓷柱式六氟化硫断路器上进行实验,获取合闸弹簧储能状态和动作特征参数。研究了断路器合闸和储能过程的动作特征参数与合闸弹簧储能状态之间的对应关系,利用BP神经网络对合闸弹簧储能状态进行预测。通过对BP神经网络的训练结果和实验结果的分析,表明通过断路器动作特征参数可以有效地对合闸弹簧的储能状态进行预测。In order to diagnose the closing spring energy-storing state of running circuit breaker during the repair process, an experiment on LW25-126 porcelain column SF6 circuit breaker was finished using pressure sensor, photoelectric encoder and cur- rent transformer , and the energy-storing state and running characteristic parameters of closing spring were acquired. The research on relationship between running characteristic parameters of circuit breaker closing and storage process and closing spring＇ s ener- gy-storing state was completed, and the closing spring＇s energy-storing state was predicted by BP neural network. The analysis of BP neural network＇ s training results and experimental results indicate that the energy-storing state of closing spring can be predic- ted effectively by using running characteristic parameters of closing spring.

关 键 词：弹簧操动机构 合闸弹簧 储能状态 BP神经网络 

分 类 号：TM932[电气工程—电力电子与电力传动]