Our Services

24×7 Monitoring

Trafisense provides 24×7 real-time monitoring of dry-type transformers through online sensors. In addition several local environmental attributes are recorded. The result is a concise, always up-to-date view of the transformer’s status.

Prediction of high-risk situations

Trafisense uses proprietary machine-learning algorithms to estimate high-risk situations in dry-type transformers. Critical conditions are detected long before they manifest and the engineering team is notified through mobile messaging and e-mail providing enough time to assess the situation and schedule corrective action.

Actionable insights

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 regular summary reports for each monitored transformer by a team of in-house experts.

News

When predictive analytics is not enough

Predictive analytics is in the rise. The typical IoT project is currently shifting from data collection and processing into identifying patterns and providing insights into the future behavior. However predictive analytics is not enough to delay or prevent a hardware failure from occurring.

Features

24×7 Real-time monitoring

24×7 real-time monitoring of +10 transformer & environmental attributes.

Daily & weekly automated reports

Daily & weekly automated reports summarizing the main incidents during the recorded period and highlighting trends.

Expert reviews

Regular manual reports by our team of engineers ensure that an expert always watches your hardware and reviews collected data from the sensors.

Monitored Attributes
10
Updates per Hour
60
Reports per Year
400
Measurements per Day
14400

Benefits

  • Lower maintenance cost
  • Reduced false negative and false positive alerts
  • Less downtime and improved hardware lifespan
Maintenance cost savings
40%
Reduction in false negative alerts
95%
Reduction in false positive alerts
70%
The EU flag

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 762676

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Awards

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