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高压电器  2015 

集成证据推理与多神经网络的电力变压器故障综合诊断

DOI: 10.13296/j.1001-1609.hva.2015.09.013, PP. 71-76

Keywords: 电力变压器,故障诊断,证据推理,小波神经网络

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Abstract:

电力变压器是电力系统中最为重要的设备之一,及早发现其潜伏性故障对于保障电网的安全稳定运行具有重要意义。文中结合变压器油色谱和电气预防性试验数据,提出一种基于多神经网络与证据推理的变压器故障综合诊断方法。结合神经网络的输出,将证据融合信度分配中的不可知部分分成由权重分配导致的不可知和信息缺乏导致的不可知两部分组成,优化证据推理算法,较客观地减少了诊断的不确定性。最后通过实例仿真表明该方法具有良好的诊断性能。

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