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PAVIMON SIGNED

AI for Predictive Maintenance on Wind Turbines

Total Cost €

EC-Contrib. €

Partnership

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PAVIMON project word cloud

Explore the words cloud of the PAVIMON project. It provides you a very rough idea of what is the project "PAVIMON" about.

operation signal pavimon resource components effectuate intelligence total analyze transformational artificial streams critical power drastically signals society turbine efficiency energy fault sensor commercial levels predictive manual wind data detection ai maintenance transition feasibility renewable

Project "PAVIMON" data sheet

The following table provides information about the project.

Coordinator	VERTIKAL AI APS Organization address address: HAVNEPARKEN 2 city: VEJLE postcode: 7100 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Denmark [DK]
Total cost	71˙429 €
EC max contribution	50˙000 € (70%)
Programme	1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs) 3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
Code Call	H2020-SMEInst-2018-2020-1
Funding Scheme	SME-1
Starting year	2019
Duration (year-month-day)	from 2019-10-01 to 2020-02-29

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	VERTIKAL AI APS VERTIKAL AI APS Organization address address: HAVNEPARKEN 2 city: VEJLE postcode: 7100 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DK (VEJLE)	coordinator	50˙000.00

Map

Project objective

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. However, current analysis methods are highly manual and do not scale well.

The EU-funded PAVIMON project is focused on the implementation of advanced artificial intelligence (AI) to analyze data from these sensor streams. The aim is to increase the resource efficiency of signal analysis and improve predictive capabilities. The PAVIMON project will effectuate a feasibility study at technical, transformational and commercial levels.

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The information about "PAVIMON" are provided by the European Opendata Portal: CORDIS opendata.