摘要
针对电力变压器故障特点,采用故障树分析与BP神经网络相结合的方法预测变压器故障率。介绍了变压器故障树的建立与故障树分析流程、BP神经网络的建立、样本获取和学习训练。通过实例计算结果与实际统计结果的比较,验证了此方法的可行性与有效性。
In connection with transformer fault features, the paper applies the method of combining fault tree analysis and BP neural network, to forecast transformer fault rate. The paper also introduces the establish ment of transformer fault tree and analysis procedure, the establishment and learning train of BP neural network, sample acquisition. The comparison of the results between example calculation and real statistic proves that the proposed method is flexible and effective.
出处
《供用电》
2009年第1期49-51,54,共4页
Distribution & Utilization
关键词
变压器
故障树分析
BP神经网络
transformer
fault tree analysis BP neural network
