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中文摘要：
失效数据样本过少会影响对高可靠性继电保护系统的可靠性评估,因此提出一种基于BP神经网络的继电保护系统可靠性评估方法.分析了可用于继电保护装置可靠性评估的分布模型及其特点;利用原始小样本失效数据训练BP神经网络,得到与原始数据样本规律相近的扩充数据样本;利用最小二乘法对扩充数据样本的分布模型进行参数估计.算例分析表明：利用扩充数据样本进行可靠性评估效果更好,在对继电保护装置进行可靠性评估时应根据选择的分布模型选择合适的经验公式.
英文摘要：
A method based on BP neural network is proposed for the reliability assessment of relay protection system with a few failure data samples. The distribution models suitable for the reliability assessment of relay protections and their features are analyzed. The BP neural network is then trained by the small amount of original failure data sample to get the expanded data samples whose rules are similar to those of the original ones. The least square method is applied to estimate the distribution model parameters of expanded data samples. Case study shows that,the reliability assessment based on the expanded data samples has better effect and the proper empirical formula should be adopted according to the selected distribution model.
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