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阐述了高压断路器在线监测的必要性,着重分析高压断路器机械故障在线测的内容与方法,讨论目前存在及需要解决的问题,并对未来发展趋势行分析预测。 相似文献
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《高压电器》2013,(8):26-34
介绍了一种高压真空断路器机械状态监测系统。该监测系统综合了以往的监测技术,保证了对断路器机械状态监测的全面性。在此基础上,扩大了监测范围,包括弹簧操动机构真空断路器和永磁机构真空断路器,提出了一机两用思想,既可作为断路器出厂测试用,又可作为断路器在线监测用。该监测系统在技术上,对信号采集精度、监测仪功能方面、运行抗干扰方面有了更高的要求。监测系统的上位机系统使用混合型面向对象语言C++在可视化编程系统Visual C++中编写,实现与下位机间的通信,接收到的数据随时绘成波形实时显示并存入数据库,为之后的故障诊断系统分析判断积累信息资源。该监测系统已基本完成,经实验测试运行正常,采集数据准确。 相似文献
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在监测过程中,状态判别主要关心的是设备的整体状况;而在故障诊断中,状态分类则是在发现设备异常后,对故障进行深入的分析,以确定故障发生的部位、严重程度及其原因,为诊断决策提供依据. 相似文献
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高压异步电机状态监测和故障诊断方法研究 总被引:13,自引:0,他引:13
介绍和分析了高压异步电机的故障原因,提出了状态监测及故障诊断方法。不同类型的故障,其振动频谱、电机供电电流、转矩和磁场中的频率成分不同,推导了故障类型和频谱之间的关系,给出了有关试验结果,尤其是不同负载时的转子和轴承故障的情况。可作为高压异步电机的故障诊断手段,亦可作为查找故障的技术,有利于高压电机的维护。 相似文献
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Based on vibration signal of high voltage circuit breaker,a new method of intelligent fault diagnosis that wavelet packet extracts energy entropy which are used as characteristic vector of the support vector machine(SVM)to construct classifier for fault diagnosis is presented.The acceleration sensors are applied to collecting the vibration data of different states of high voltage circuit breakers based on self-made experimental platform in this method.The wavelet packet are fully applied to analyze the vibration signal and decompose vibration signal into three layers,and wavelet packet energy entropy of each frequency band are as the characteristic vector of circuit breaker failure mode.Then the intelligent diagnosis network is established on the basis of the support vector machine theory.It is verified that the method has a better capability of classification and a higher accuracy compared with the traditional neural network diagnosis method through distinguishing the three fault modes which are tripping device stuck,the vacuum arcing chamber fixed bolt looseness and too much friction force of the transmission mechanism of circuit breaker in this paper. 相似文献