Wind turbine blade monitoring systems

This invention describes a system to detect damage in wind turbine blades by placing a sound sensor inside a hollow part of the blade. The sensor listens for acoustic signals caused by impacts like wind, rain, or hail. A computer then analyzes these sounds, specifically measuring and accumulating the acoustic energy over time to determine if the blade is eroding or damaged and needs inspection.

Why it matters: Since 2021, advancements in edge computing and specialized acoustic processing units have made real-time, low-power analysis of complex sound data more feasible. This could simplify the on-blade processing required to accurately quantify erosive effects and detect damage.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedAcoustic sensor integration, signal processing, embedded system.

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