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电气火灾电弧等离子体的诊断与识别方法
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摘要
火灾的频繁发生不仅对生活物质财产造成极大的损失,而且对人类生命安全造成极大的伤害;若能提前预警,则可以提前避免火灾的发生。本文利用MATLAB软件,建立Mayer模型对电弧进行仿真,同时搭建串联电弧实验平台,在不同负载下,把仿真数据与实验结果做对比分析。添加不同负载时故障电弧的电流波形进行频域变换,进一步提出了在频域特性下判断起弧的方法。该方法是通过判断功率频谱在0~100Khz波形的斜率特征来检测是否起弧。结果表明这种方法可以有效识别故障电弧的发生,为判断故障电弧提供了可靠的依据。
The frequent occurrence of fire not only caused great damage to the material property, but also caused great harm to the safety of human life; it is possible to be effectively avoided by earlier warning. The Mayer arc model is simulate by MATLAB software, and the experimental platform of series arc is built, and analysis the simulation data and experiment results under different loads. The current waveform of the fault arc in different loads are added to the frequency domain, and the method of judging the arc in the frequency domain is presented. The method is to detect whether the arc is based on the slope of the power spectrum of the 0~100Khz waveform. The results show that this method can effectively identify the occurrence of the fault arc, and provide reliable basis for the fault arc.
引文
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