
Trafisense is a monitoring service for dry-type power transformers based on proprietary machine-learning technology that offers accurate maintenance planning and early warning of high-risk situations. 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. 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. 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.

Trafisense is a monitoring service for dry-type power transformers based on proprietary machine-learning technology that offers accurate maintenance planning and early warning of high-risk situations. 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. 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. 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.
Founded: 2016 (Athens, Greece)
Product: 24/7 real-time ML-driven monitoring for dry-type power transformers
Funding: Grant from EASME announced Feb 1, 2017
Status: Closed (listed as closed in 2023)
Predictive maintenance and asset monitoring for dry-type power transformers
2016
Energy / Industrial IoT
European Commission executive agency grant announced Feb 1, 2017