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Predictive maintenance platform for industrial assets based on AI and IoT

Project description

Keeping machines humming for optimum production

In modern industrial processes, automation plays an ever-increasingly important role. And the key part to automation is machines. This makes the main goal of industrial production the acquisition of optimal performance for machines. Without this, maintenance costs increase, profits decrease and overall costs skyrocket, and the likelihood of sudden events that can cause problems is high. The EU-funded Predictive sigma project will develop a predictive maintenance platform. It will analyse machines using IoT technologies and electrical data collected with electrical sensors. The platform will decrease the likelihood of stoppages and thus improve production processes.

Objective

In a world where everything is run by machines, securing their optimum performance is paramount. When a machine begins to fail or stop unforeseen: production is compromised, maintenance costs are triggered and performance and quality go down. Sigma Industrial Precision is a Spanish ICT-SME specialized in the development of predictive maintenance based on electrical analysis focused in the development and commercialization of predictive-sigma, a predictive maintenance platform for industrial assets. We believe that electrical data can provide critical information. With this premise in mind we have recently developed and demonstrated a disruptive, smart solution towards Factory 4.0 a cost-effective and easy to use. Thanks to advances in IoT architectures and data analytics, Predictive Maintenance (PdM) is one of the most prominent and fastest growing use cases of IoT technology in industrial settings today and empowered by artificial intelligence that can help to decrease downtime and improve asset performance drastically. We are offering a complete solution, predictive-sigma, including electrical sensors and access to predictions about potential asset failures. With our solution we can guarantee: less stoppages and more production, only the necessary maintenance and ensure quality and efficiency. Sigma is cemented on an experienced team composed of engineers and scientist with skills in business and technology development. In 2018, our company was selected as one of the 50 startups with more projection of Catalonia (Spain) according to the Investment Forum 2018 (Barcelona & Catalonia Startup Hub).

Fields of science (EuroSciVoc)

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Programme(s)

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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.

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

SIGMA INDUSTRIAL PRECISION SL
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
AVDA. ERNEST LLUCH NUM 32, TECNOCAMPUS TCM2
08302 MATARO- BARCELONA
Spain

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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
Este Cataluña Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
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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