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Signals to Solutions: a change of paradigm in predictive maintenance market

Project description

Predictive maintenance tool to decrease machine downtime

Rotating equipment failure largely accounts for unplanned equipment downtime. Predictive maintenance can decrease maintenance costs and minimise unplanned production breaks, but current analytical models are limited in their ability to identify failure events in the emerging production models, which are more flexible, complex and variable. The EU-funded S2S project is developing a predictive maintenance tool that can rapidly analyse non-stationary data. Compared with stationary signals, non-stationary signals reflect more realistic production cases, where machine use intensity varies according to different time schedules, productivity needs and working conditions. The new tool will be able to extend industrial equipment lifecycle by up to four times and reduce overall costs for equipment operation and maintenance by 130 %.

Objective

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.

Programme(s)

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Topic(s)

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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.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

SIGNAL ANALYSIS LAB AS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
UDBYES GATE 11C
7030 TRONDHEIM
Norway

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Norge Trøndelag Trøndelag
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

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.

€ 71 429,00
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