TR-Oil
Monitors transformer condition from laboratory analyses of insulating oil and insulating paper.

The AXOL platform monitors assets in the electric and industrial sectors with new probabilistic predictive analysis models.
Monitors transformer condition from laboratory analyses of insulating oil and insulating paper.
Monitors transformer condition from field inspection analyses.

Consolidates risk, operation and maintenance information from assets, enabling reliability, contingency and decision-support analyses.
The SIARO digital twin uses predictive maintenance history, inspections and operational data to generate indicators that support decisions about critical assets using proprietary embedded AI.

AXOL Engineering uses predictive maintenance plan histories as input references for assets. These plans are based on preventive actions performed before failure occurs. They may consider time or condition; however, for critical assets, the main focus is always condition-based predictive maintenance.
