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基于振动分析结合人工免疫算法的高压断路器故障诊断预测系统研究
引用本文:张敏,丁跃浇.基于振动分析结合人工免疫算法的高压断路器故障诊断预测系统研究[J].机电一体化,2014(6):36-39.
作者姓名:张敏  丁跃浇
作者单位:湖南理工学院信息与通信工程学院,岳阳414006
基金项目:湖南省科技计划基金资助项目(2011GK3168).
摘    要:针对电力系统中高压断路器的故障诊断、预测,提出了由一种基于电磁变化与感应原理,结合机械结构合理设计的振动检测装置提取振动信号,并采用人工免疫算法,对高压断路器振动指纹信号进行识别,实现高压断路器故障诊断、预测的有效可行的系统设计方法。

关 键 词:振动信号  人工免疫  故障诊断和预测  高压断路器

Study on Fault Diagnosis and Prediction System of High-voltage Circuit Breakers Based on Artificial Immune Algorithm with Vibration Analysis
Abstract:cuit breakers is electromagnetic nals. And then effective and feasible system design method for fault diagnosis and prediction of high-voltage proposed in this paper. This system design uses a vibration detecting device based on the princip ction and changes and the reasonable design of mechanical structure to extract the vibration cial immune algorithm is used to identify the vibration signals of high voltage circuit breake cire of sigrs.
Keywords:vibration signal artificial immune fauh diagnosis and prediction high-voltage circuit breakers
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