基于神经网络原理的高压断路器状态监测分析

Condition monitoring analysis of high-voltage breaker based on neuial network

断路器在电力系统的安全进行与事故处理中有着极其重要的作用。SF6断路器的故障直接影响了电力系统的安全性和可靠性。在SF6断路器故障中,气体状态故障和机械状态故障占有相当大的比重,针对目前SF6断路器状态监测和故障诊断系统在气体状态和机械状态两个方面存在的缺点和不足,从湿度监测、振动信号特征提取、故障诊断方法以及实际应用等几个方面进行了深入的研究。

High voltage circuit breaker （HVCB） is one of the most important primary equipment in power system,of which SF6 HVCB is widely used because of its good quality of isolation and arcing,and so the malfunction of SF6 HVCB decreases the safety and reliability of power system directly. Gas failures and mechanical failures constitute quite a portion of all the failures within SF6 HVCB,For the shortcomings of the monitoring systems this paper conducted the deep research on it,fom the aspects of humidity monitoring,vibration signal extraction,failure diagnosis methed and prattical appilcation.