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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 €


EC-Contrib. €






 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.

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

Project "Trafisense" data sheet

The following table provides information about the project.


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
 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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 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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