AI for Predictive Maintenance on Wind Turbines

Información del proyecto

PAVIMON

Identificador del acuerdo de subvención: 885916

DOI

10.3030/885916

Proyecto cerrado

Fecha de la firma de la CE 25 Octubre 2019

Fecha de inicio 1 Octubre 2019

Fecha de finalización 29 Febrero 2020

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Coste total

€ 71 429,00

Aportación de la UE

€ 50 000,00

Coordinado por

VERTIKAL AI APS
Denmark

Periodic Reporting for period 1 - PAVIMON (AI for Predictive Maintenance on Wind Turbines)

Período documentado: 2019-10-01 hasta 2020-02-29

Resumen del contexto y de los objetivos generales del proyecto

Wind power is a key component in the transition towards a society based on renewable energy. However, wind turbine operation and maintenance costs remain high and represent a third of the total costs of energy. Maintenance of critical components can be drastically reduced through early fault detection using advanced sensor signals. Vertikal AI is focused on the implementation of advanced artificial intelligence (AI) to analyze data from wind turbine sensor data streams. The aim is to increase the resource efficiency of signal analysis and improve predictive capabilities. The PAVIMON project was a feasibility study at technical, transformational and commercial levels - in its essence, an advanced business and market analysis.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

Through collaboration with test clients, the PAVIMON project produced key strategic guidance based on a thorough study and analysis. Technical datasets were made available for analysis as well as data science experiments. Expert interviews were conducted to analyze user experience pains of current state-of-the, gather market intelligence, and understand future technology trends. The key results were; 1) A revised product modularization strategy, 2) Validation of targeted beachhead clients, 3) Improved approach to IPR, 4) New growth strategy options identified, 5) Key risks and growth barriers based on e.g. competitive analysis.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

While executing the SME phase 1 project, Vertikal AI has matured its core product components through datasets and insights provided by test clients. Furthermore, a 2-year collaboration agreement was signed with a large European asset owner, which is an enabler for increasing speed to market.
Bringing our AI technology to market contributes significantly to lowering the cost of wind turbine operations and maintenance and thereby accelerates the transition to renewable energy. The goals of Vertikal AI align perfectly with the European Green deal. Fulfilling the potential of our technology strengthens the EU’s and Denmark’s position within artificial intelligence.

The founders of Vertikal AI: Allan Moeller Larsen (left) and Martin Bach-Andersen (right)