Sandia Labs Builds Crawling Robot to Detect Hidden Wind Turbine Damage
Researchers at Sandia National Labs develop an autonomous crawling robot that uses ultrasonic imaging to find invisible internal flaws in wind turbine blades. This new technology eliminates dangerous manual inspections and catches severe damage long before it becomes visible on the surface.
Researchers at Sandia National Laboratories create a crawling robot that inspects wind turbine blades autonomously to find invisible internal damage. Wind turbines endure extreme weather, lightning strikes, and billions of load cycles over their lifetimes, making regular maintenance essential. However, inspecting these massive structures proves difficult because crews often have to rappel down the blades or use cranes just to perform superficial visual checks.
Traditional visual inspections only reveal surface-level damage, which means severe internal deterioration goes unnoticed until it is too late. To solve this problem, the Sandia team partners with International Climbing Machines and Dophitech to build a robot that navigates the enormous blades like a lawnmower. The device moves methodically side to side and bottom to top to ensure complete coverage of the structure.
Unlike human inspectors, this robotic system utilizes ultrasonic imaging to look deep beneath the surface of the fiberglass blades. This advanced technology detects damage to interior layers long before any cracks appear on the outside. By catching these hidden flaws early, the crawling robot helps prevent catastrophic failures and keeps clean energy infrastructure running safely.