Project description
Predicting industrial failures before they happen
Unexpected failures in industrial machines can lead to costly downtimes, energy waste and even safety risks. Many of these failures originate from electrical and mechanical faults in power converters, which are essential for driving production equipment. Traditional fault-detection methods often react too late, leaving little time for preventive action. To address this challenge, industries need a reliable way to predict short-term failures before they occur. In this context, the EU-funded R-PODID project is developing an automated, cloud-free system for forecasting failures in electric drives, power modules and power devices that can be exploited in many different applications. Predicting faults up to 24 hours in advance will allow energy-saving shutdowns during idle times and enhance safety in power systems using advanced semiconductor technologies.
Objective
R-PODID (Reliable Powerdown for Industrial Drives) aims to develop an automated, cloudless, short-term fault-prediction for electric drives, power modules, and power devices, that can be integrated into power converters.
Thereby, electrical and mechanical faults of machines and of the power converters driving them will become predictable within a limited prediction horizon of 12-24h.
This will enable a power-saving shutdown of a larger number of production machines during idle times, because a looming failure during the next power-on cycle can be reliably foreseen.
It will also enable reliable mitigation of dangerous faults in applications using modern power-devices like silicon-carbide (SiC) and III/V-semiconductor devices like gallium-nitride (GaN).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electrical engineering electric energy
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.2 - Key Digital Technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-KDT-JU-2022-2-RIA
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40126 Bologna
Italy
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Participants (33)
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34445 ISTANBUL
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3810-193 GLORIA E VERA CRUZ
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6921 RW Duiven
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26130 Eskisehir
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602 00 BRNO STRED
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1006 Riga
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41122 Modena Mo
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150 00 PRAHA 5
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151 25 MAROUSSI
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5692 EP Son En Breugel
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1300-609 LISBOA
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5656 AE Eindhoven
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20864 Agrate Brianza
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Vilniaus
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2628 CN DELFT
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44227 Dortmund
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5612 AE Eindhoven
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80686 MUNCHEN
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59510 Tekirdag
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8020 Graz
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3013 AK Rotterdam
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The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
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8010 Graz
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4040 Linz
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4040 Linz
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Participation ended
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265 04 PLATANI RIO AKHAIAS
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The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
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060042 BUCURESTI
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75301 Hranice
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95100 Selb
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95125 Catania
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The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
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3750-102 AGUEDA
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98122 MESSINA
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96100 Siracusa
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The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
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546 36 THESSALONIKI
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