Project — Wind Turbine

Real-time fiber-optic acoustic monitoring for turbine blades

The project aims to develop a robust, reliable and real-time fiber-optic acoustic Structural Health Monitoring (SHM) system that enables continuous online monitoring of offshore wind turbine blades.

Project summary

Continuous, online, and out on the water

Blades are the components hardest to reach and most expensive to inspect. An acoustic sensing system embedded in the structure reports on their condition without anyone having to get to them.

Project key components

Three subsystems, one signal chain

Fiber Optic System

Generates optical pulses, transmits them through the fiber, receives the backscattered signals and converts them into electrical digital signals.

IoT System

Receives the digital signals through an IoT gateway and sends the data to the cloud for storage and analysis.

Engineering Model

Analyses the data in the cloud to detect and assess structural damage in the wind turbine blades.

System's architect

From optical pulse to damage assessment

Blade sensing fiber Fiber optic system pulse · backscatter · digitise IoT gateway transmit to cloud Cloud + model detect · assess damage insight
Project objectives

Two challenges the system is built to solve

Replacing conventional SHM systems

Conventional monitoring depends on sensors that are difficult to install on and inside a turbine blade. The fiber-optic approach removes that installation barrier — a single fiber replaces a network of discrete sensors and wiring.

Quantifying and assessing damage

Knowing that something happened is not enough. Conventional systems lack the ability to quantify and assess damage; the engineering model turns the measured acoustic signals into an assessment of what the damage actually is.

Want the technical detail?

We are glad to go deeper on the interrogation scheme, the resolution we achieve and how the engineering model is trained and validated.

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