Opendata, web and dolomites

Trafisense

Trafisense is a real-time monitoring and early-warning service for high-risk situations in dry-type distribution and power transformers based on proprietary machine-learning technology.

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 Trafisense project word cloud

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

transformer    regarding    exceptional    disruptions    failures    indicates    50    weekly    negatives    house    standard    transformers    learning    electrical    manifest    risk    80    maintenance    considerable    team    basic    correspond    daily    root    datacenters       power    warnings    downtime    monitored    wind    insights    customer    sources    actions    installations    prevents    job    suggesting    notify    continuous    dry    semiannual    experts    mainly    service    actionable    arise    combined    engineers    display    summary    owners    proprietary    critical    60    offshore    generates    offers    remote    predict    time    machine    shut    initial    status    trafisense    onshore    hundred    receive    false    fewer    weeks    savings    software    reports    additional    translates    hardware    environmental    feeds    accurately    deciphering    solution    sites    last    monitoring    accidents    amongst    customers    worse    data    leaving    automated    farms    reduce    statistics    days    original    lack    practices   

Project "Trafisense" data sheet

The following table provides information about the project.

Coordinator
TRAFISENSE MONOPROSOPI IDIOTIKI KEFALAIOUCHIKI ETAIREIA 

Organization address
address: DIMOKRATIAS 24
city: VOULA
postcode: 166 73
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 Greece [EL]
 Project website https://trafisense.com
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.3. (SOCIETAL CHALLENGES - Secure, clean and efficient energy)
2. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-02-01   to  2017-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TRAFISENSE MONOPROSOPI IDIOTIKI KEFALAIOUCHIKI ETAIREIA EL (VOULA) coordinator 50˙000.00

Map

 Project objective

Trafisense is a monitoring service for dry-type distribution and power transformers based on proprietary machine-learning technology. Currently only 5% of dry-type power transformers are monitored beyond a very basic set of properties. As a result, owners cannot predict the state of the transformers accurately and face hardware failures and downtime. Even worse, the lack of monitoring prevents identifying the original cause of failure. The last 4 years several hundred datacenters where shut down due to dry transformer failures. 50% of failures and 60% of downtime per year in wind farms correspond to electrical component failures and transformer failures are amongst the most common sources. Additional issues arise in offshore sites due to advanced monitoring requirements. Trafisense offers a combined hardware/software solution for continuous real-time monitoring of dry-type power transformers. We process data feeds from more than 10 electrical and environmental properties to identify the risk status of the hardware and notify the customer of exceptional conditions several days or weeks before they manifest. Trafisense does not just display statistics leaving the deciphering job to the customer. Our service generates detailed actionable insights leading maintenance engineers to the root problem and suggesting specific maintenance actions. In addition to the daily and weekly automated reports, our customers receive semiannual summary reports for each monitored transformer by a team of in-house experts. Initial comparison with standard maintenance practices indicates considerable savings in maintenance cost mainly in offshore installations and onshore remote or critical installations. The reduction of false negatives results to less downtime that translates to fewer disruptions in production. Our proprietary technology generates early warnings regarding high-risk hardware states and it can reduce accidents by 80%.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "TRAFISENSE" 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 "TRAFISENSE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.3.;H2020-EU.2.1.1.;H2020-EU.2.3.1.)

Horizon (2018)

Cableway based Photovoltaic Retractable Folding Roof for Dual Usage of Spaces

Read More  

X-TEC (2018)

A groundbreaking renewable-energy technology for reducing truck emissions

Read More  

FlyInGS (2017)

Flywheel energy storage for Increased Grid Stability

Read More