Evaluating Overhead Line Asset Integrity Through Drone Enabled Detection of Conductor Damage
Two field‑based case studies are presented. The first examines distribution‑level conductors, where high‑resolution optical imaging enabled the detection of cracked automatic splices exhibiting advanced mechanical and metallurgical distress. These defects were identified while the conductors remained energized prior to catastrophic failure. Subsequent investigation confirmed the cracking to be consistent with fatigue‑and corrosion‑assisted damage mechanisms that would have been difficult to identify using conventional inspection approaches. Early detection enabled targeted intervention, preventing unplanned outages and limiting secondary damage.
The second case study focuses on transmission‑level inspections, highlighting the capability of UAS platforms to rapidly and systematically survey extended line segments. Consistent, repeatable imagery across entire spans enabled timely condition assessment to support the identification of damage states and deterioration trends with minimal operational disruption. Compared to traditional methods, this approach significantly reduced inspection time and cost while expanding defect detection coverage, allowing the development of new conductor inspection programs.
These studies illustrate how drone‑based inspections can function as a practical non‑destructive evaluation tool for identifying material defects and degradation mechanisms critical to overhead line asset integrity. Integrating UAS into inspection programs enhances failure prevention strategies by enabling earlier detection of damage, improving decision‑quality data, and reducing risk to personnel.
See more of: Failure Analysis Society (FAS) at IMAT
