Prediction of weather-related failures of overhead distribution feeders
Prediction of weather-related failures of overhead distribution feeders
复制标题
架空配电馈线与天气相关的故障预测
DOI：
10.1017/s0269964806060074
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Sanjoy Das
中科院分区：
文献类型：
--
作者：
Yujia Zhou;Anil Pahwa;Sanjoy Das
本文提出了两种预测天气相关架空配电馈线故障的方法。第一个模型是基于线性回归的，它使用回归函数来确定天气因素与架空馈线故障之间的相关性。第二种方法是基于单层贝叶斯网络，它使用条件概率对相关性进行建模。讨论了这两种方法，然后进行了测试以评估其性能。讨论并比较了这些方法所得到的结果。
This paper presents two methods to predict weather-related overhead distribution feeder failures. The first model is based on linear regression, which uses a regression function to determine correlation between the weather factors and overhead feeder failures. The second method is based on a one-layer Bayesian network, which uses conditional probabilities to model the correlation. Both methods are discussed and followed by tests to assess their performance. The results obtained using these methods are discussed and compared.