Opendata, web and dolomites

S2S

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 S2S project word cloud

Explore the words cloud of the S2S project. It provides you a very rough idea of what is the project "S2S" about.

stationary    huge    speed    gaining    few    representing    annual    84bn    offshore    pm    machinery    2025    tuning    entry    s2s    99    stationarity    time    popularity    operation    7m    times    lifecycle    dominated    manufacturers    erase    aviation    64bn    analysing    linked    pinpoint    027    maintenance    predictive    unplanned    industries    machines    reduce    eliminate    introduce    standard    drilling    breaking    share    human    8m    reflect    profits    solution    disasters    international    130    hard    competition    22    integrate    assumptions    techniques    assets    flexible    productivity    strategic    direct    data    competitor    solutions    models    anymore    turnover    industrial    minimize    losses    companies    technological    environmental    23    varies    fit    embed    schedules    intensity    signals    barriers    jobs    feasibility    fine    risk    economic    breaks    vendors    extend    created    fast    accumulated    tool    2022    reproducing    downtime    decrease    rotating    market    industry   

Project "S2S" data sheet

The following table provides information about the project.

Coordinator
SIGNAL ANALYSIS LAB AS 

Organization address
address: UDBYES GATE 11C
city: TRONDHEIM
postcode: 7030
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 Norway [NO]
 Project website https://signalanalysislab.com
 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 2018
 Duration (year-month-day) from 2018-06-01   to  2018-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SIGNAL ANALYSIS LAB AS NO (TRONDHEIM) coordinator 50˙000.00

Map

 Project 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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "S2S" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "S2S" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

Colourganisms (2020)

Microbial production of custom-made, pure and sustainable anthocyanins

Read More  

TAPPXSSAI (2019)

Development of a system for automatic ad insertion into on-demand streaming video to provide new monetization mechanisms to the media industry

Read More  

RoboSynFarm (2019)

Robotic Synthesis Farm

Read More