Deployment of an Intelligent Robotic Diagnostic System for Outdoor Switchgear Equipment Based on Multispectral Analysis and AI

This paper presents a real-world implementation of a cyber-physical system for automated diagnostics of high-voltage outdoor switchgear at a power plant, based on an integrated complex of unmanned aerial (UAV) and unmanned ground (UGV) robotic platforms. The objective of the work is to develop and validate an intelligent robotic diagnostic system capable of fully automatic, repeatable, and multispectral inspections under operating voltage conditions, enabling reliable defect detection, condition tracking, and defect development forecasting within a decision support context.