输电线路故障预测与智能诊断方法

Transmission Line Fault Prediction and Intelligent Diagnosis Method

输电线路的可靠性对电力系统的稳定运行至关重要。本文对输电线路故障预测与智能诊断方法进行了深入研究,首先分析了故障特征及其类型,然后使用机器学习SVM方法对输电线路的故障进行准确预测,使用深度学习CNN方法进行线路故障智能诊断,从而提高了电力系统的可靠性和安全性。并通过实验验证了该方法的有效性。

The reliability of transmission line is very important to the stable operation of power system.The paper conducts in-depth research on transmission line fault prediction and intelligent diagnosis methods.Firstly,fault characteristics and types are analyzed,and then machine learning SVM method is used to accurately predict transmission line faults,and deep learning CNN method is used to perform intelligent diagnosis of line faults,thus improving the reliability and security of power system.The effectiveness of this method is verified by experiments.