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.

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

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.)

Skye (2018)

Redefining Drone Safety and Autonomous Operation for Indoor Commercial Applications

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  

VINOQUANT11SUPERPLUS (2019)

A digital based system for measuring, showing and regulation of the complexe system of wine feremtation with high precision via a Bluetooth -Refractometer, a Software and a Bluetooth Thermostat

Read More