ENEL: Boosts blade maintenance with AI

Enel has entered into a contract with Perceptual Robotics to process future inspections blade data from across its entire global fleet of wind turbines.

Enel Green Power chose to work with the Bristol, UK-based company because of “superior results with its pioneering Dhalion system”, which analyses wind turbine inspections data and uniquely identifies future potential faults before they cripple the turbine.

This high-quality analysis will quickly give Enel Green Power engineers the information they need to carry out preventive maintenance, reducing turbine downtime, increasing safety and cutting costs.

Following a successful collaboration in tests, Kostas Karachalios, CEO of Perceptual Robotics, said he was thrilled to continue working with Enel Green Power.

“The task of inspecting and maintaining these structures is becoming ever more challenging, as the industry is increasingly recognising.

“Our solution is driven by meticulous data and the science of materials.

“This allows us to provide much more granular information about any defects, and to make sure we detect within hours possible issues before they become a problem as AI can detect thousands of data in parallel, reducing wind turbine downtime, and significantly affecting the repairs needed in the future.”

Perceptual Robotics said one of the biggest differentiating factors in its solution is the ability to work with clients to deploy the processing and reporting software within their own servers, improving transparency and security.

“Our AI solution also works with all type of source data, providing a very valuable flexibility in huge fleets such as Enel’s,” added Karachalios.

In tests with Enel Global Services, Perceptual Robotics carried out a successful full case study on the performance and business impact of using artificial intelligence on analysing wind turbine blade data.

The results showed AI is already exceeding the capabilities of current blade experts, Perceptual stated.

Source: renews.biz