AI-TRAIN | AI Transfer Learning in Industrial IoT

Summary
VERTIKAL is a deep-tech startup located in Vejle, Denmark, with a mission to realize the potential of AI to boost wind turbine performance and thus accelerate the transition towards a society powered by renewable energy.

The AI-assisted monitoring platform from VERTIKAL provides wind turbine operators with a highly improved and scalable turbine monitoring workflow. However, the technology still holds a significant untapped potential which needs further development and commercial efforts to fully unleash. A barrier towards the performance and the wider application of AI technology in the Wind Turbine IoT domain is data scarcity from rare events distributed across diverse assets, sensor systems and time

In the AI-TRAIN project, VERTIKAL proposes an ambitious R&D effort that seeks to close the gap between the requirements of state-of-the-art machine learning architectures and the data collected in the wind turbine monitoring domain. The 12-month R&D project to be initiated by the Innovation Associate (IA) will be a cornerstone in the efforts to build a long term sustainable competitive advantage for VERTIKAL and integrated into the long R&D pipeline at the company.

The R&D results will directly help decarbonising the energy sector and contributes to the digital transformation in the sustainable energy sector. VERTIKAL prides itself on supporting the priorities of the European Green Deal for becoming a climate-neutral EU by 2050.
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Web resources: https://cordis.europa.eu/project/id/957138
Start date: 01-10-2020
End date: 30-09-2021
Total budget - Public funding: - 117 000,00 Euro
Cordis data

Original description

VERTIKAL is a deep-tech startup located in Vejle, Denmark, with a mission to realize the potential of AI to boost wind turbine performance and thus accelerate the transition towards a society powered by renewable energy.

The AI-assisted monitoring platform from VERTIKAL provides wind turbine operators with a highly improved and scalable turbine monitoring workflow. However, the technology still holds a significant untapped potential which needs further development and commercial efforts to fully unleash. A barrier towards the performance and the wider application of AI technology in the Wind Turbine IoT domain is data scarcity from rare events distributed across diverse assets, sensor systems and time

In the AI-TRAIN project, VERTIKAL proposes an ambitious R&D effort that seeks to close the gap between the requirements of state-of-the-art machine learning architectures and the data collected in the wind turbine monitoring domain. The 12-month R&D project to be initiated by the Innovation Associate (IA) will be a cornerstone in the efforts to build a long term sustainable competitive advantage for VERTIKAL and integrated into the long R&D pipeline at the company.

The R&D results will directly help decarbonising the energy sector and contributes to the digital transformation in the sustainable energy sector. VERTIKAL prides itself on supporting the priorities of the European Green Deal for becoming a climate-neutral EU by 2050.

Status

CLOSED

Call topic

INNOSUP-02-2019-2020

Update Date

27-10-2022
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