LPR-MLP: A Novel Health Prediction Model for Transmission Lines in Grid Sensor Networks

Table 1

Experimental data description.

Feature classification	Description	Feature dimension
Image data	Process images through local binary mode (LBP) and extract features using histograms	531
Meteorological data	Temperature, humidity, light intensity, wind speed, wind direction, etc.	12
Mechanical data	Maximum and minimum tension, wind deflection angle at maximum and minimum tension, tilt angle at maximum and minimum tension, etc.	24
Wire parameters	Wire diameter, wire splitting factor, average equivalent wire length, etc.	5