The application discloses a composite insulator thermal defect classification method and
system based on a
random forest algorithm, extracts the axis temperature of the surface of a composite insulator of different thermal defect types, obtains a
temperature curve, analyzes and processes the
temperature curve, calculates the temperature characteristic quantity of the composite insulator of different thermal defect types, constructs a
random forest algorithm by using Python
software, establishes a composite insulator thermal defect classification model, and classifies the thermal defect types of the composite insulator by using the classification model; the application can diagnose and classify the defect types of the composite insulator based on the central axis
temperature curve of the composite insulator of different thermal defect types, improve the judgment accuracy of the heating defect of the core rod
dry rot composite insulator in the
infrared test on site, help operation and maintenance personnel to take preventive measures in time, and improve the safety and stability of the power
system.