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.
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