摘要
利用搭建的航空故障电弧试验平台,模拟航空电气系统串联故障电弧的产生,对线性负载和非线性负载条件下的串联故障电弧电气特性进行了系统采集。采用经验模态分解(EMD)和自回归(AR)模型相结合的方法,对获取的不同负载故障电弧信号进行分析,提取出航空故障电弧电流信号的特征向量。分别计算线性和非线性负载不同运行状态下特征向量的欧氏距离得到综合判别距离,取最小综合判别距离所对应的状态为被诊断信号的状态识别类型,可以有效判断未知负载系统的工作状态。
The aviation series arc was investigated at the experimental platform of aviation arc. The electricalcharacters of the series arc was collected with linear and nonlinear loads‘ Applying the empirical modedecomposition（ EMD） and auto-regressive（ A R ） m odel, the obtained arc signal with different loads was analyzed.The characteristics of arc current were extracted. The Euclidean distance between the feature vector and theclustering center was calculated. The smallest one of them is to diagnose the system status. It can efficientlydistinguish the normal and fault conditions of unknown loads.
出处
《电器与能效管理技术》
2016年第11期1-6,18,共7页
Electrical & Energy Management Technology
基金
辽宁省自然科学基金资助项目(2013020045)
