智能技术在避雷器特性测试中的应用

Application of Intelligent Technology in Lightning Arrester Characteristic Testing

阐述人工智能在避雷器特性测试中的应用。通过采集和分析传感器数据,利用机器学习算法进行故障诊断和预测,并优化特性参数和控制策略。实验结果表明,人工智能可以提高测试效率和准确性。

This paper describes the application of artificial intelligence in lightning arrester characteristic testing.It collects and analyzes sensor data,uses machine learning algorithms for fault diagnosis and prediction,and optimizes characteristic parameters and control strategies.The experimental results indicate that artificial intelligence can improve testing efficiency and accuracy.