Descrizione del progetto DEENESFRITPL Uno strumento di manutenzione predittiva per ridurre i tempi di fermo macchina I guasti delle apparecchiature rotanti sono in gran parte responsabili di tempi di inattività non pianificati. La manutenzione predittiva può abbassare i costi di manutenzione e ridurre al minimo le interruzioni di produzione non pianificate. Tuttavia, gli attuali modelli di analisi si rivelano limitati nella loro capacità di individuare eventi di guasto nei modelli di produzione emergenti, che sono più flessibili, complessi e variabili. Il progetto S2S, finanziato dall’UE, sta sviluppando uno strumento di manutenzione predittiva in grado di analizzare rapidamente i dati non stazionari. Rispetto ai segnali stazionari, i segnali non stazionari riflettono casi di produzione più realistici, in cui l’intensità di utilizzo della macchina varia in base a diversi orari, esigenze di produttività e condizioni di lavoro. Il nuovo strumento sarà in grado di estendere il ciclo di vita delle apparecchiature industriali fino a quattro volte e di diminuire del 130 % i costi complessivi per il funzionamento e la manutenzione delle apparecchiature. Mostra l’obiettivo del progetto Nascondi l’obiettivo del progetto Obiettivo Rotating machinery downtime and breaking cause huge economic losses to industry. Due to this, Predictive Maintenance (PM) is gaining popularity among those manufacturers willing to extend their assets’ lifecycle, decrease maintenance costs and minimize unplanned production breaks. However, State-of-the-Art PM techniques are still based on old assumptions (i.e. signals stationarity) which do not fit anymore with the emerging flexible and variable production models. Signals to Solutions (S2S) is the only available PM tool capable of analysing at a fast speed non-stationary data, which better reflect real production cases, where the intensity of use of machines varies according to different time schedules, productivity needs and working conditions.S2S will be able to extend industrial equipment lifecycle by up to 4 times comparing with standard maintenance approaches, reduce by up to 130% the overall costs for equipment operation & maintenance, eliminate unplanned machinery downtime and erase the risk of environmental and human-related disasters linked to machinery failure. There is no competitor capable of reproducing our solution.PM is a fast-growing international market and is expected to reach € 8.84bn by 2022. Current PM market is dominated by few international companies and a direct competition with them would be hard. Therefore, in order to quickly access the market and avoid its entry barriers, we will establish strategic partnerships with: a) equipment manufacturers, to embed S2S directly in their equipment; b) current PM vendors, to integrate S2S in their PM solutions. Through our Feasibility Study we will pinpoint our strategic partners and identify the best technological fine-tuning for S2S. We aim to introduce S2S to key industries for the EU such as Aviation and Offshore drilling, representing a potential €64bn market. Our goal is to reach €23.8m annual turnover by 2025 (0,027% market share), with €22.7m accumulated profits and 99 new jobs created. Campo scientifico engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemsengineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraftengineering and technologymechanical engineeringvehicle engineeringautomotive engineeringengineering and technologyenvironmental engineeringenergy and fuelsrenewable energywind powerengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors Programma(i) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Argomento(i) EIC-SMEInst-2018-2020 - SME instrument Invito a presentare proposte H2020-EIC-SMEInst-2018-2020 Vedi altri progetti per questo bando Bando secondario H2020-SMEInst-2018-2020-1 Meccanismo di finanziamento SME-1 - SME instrument phase 1 Coordinatore SIGNAL ANALYSIS LAB AS Contribution nette de l'UE € 50 000,00 Indirizzo UDBYES GATE 11C 7030 TRONDHEIM Norvegia Mostra sulla mappa PMI L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione. Sì Regione Norge Trøndelag Trøndelag Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Collegamenti Contatta l’organizzazione Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 71 429,00
