AI for Predictive Maintenance on Wind Turbines

Informazioni relative al progetto

PAVIMON

ID dell’accordo di sovvenzione: 885916

DOI

10.3030/885916

Progetto chiuso

Data della firma CE 25 Ottobre 2019

Data di avvio 1 Ottobre 2019

Data di completamento 29 Febbraio 2020

Finanziato da

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Costo totale

€ 71 429,00

Contributo UE

€ 50 000,00

Coordinato da

VERTIKAL AI APS
Denmark

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

Periodo di rendicontazione: 2019-10-01 al 2020-02-29

Sintesi del contesto e degli obiettivi generali del progetto

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.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

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.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

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)