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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 €

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EC-Contrib. €

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Partnership

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 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.

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

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%.

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

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