AI risk-scoring on live transformer KPIs — temperature, vibration, voltage, RPM and more. The model reads every instance of data, scores the failure risk, and raises alerts through your DCS before a breakdown becomes an outage.
Trained on multi-year sensor and failure history, the model identifies the critical features behind failures and scores risk continuously — with two thresholds driving two different responses.
Role-based dashboards with the parameters that matter — temperatures, voltages, vibrations, Buchholz relay status — plus graphs and trends over any window, and timely reports scoped to each user’s access level.
Monitoring grid and industrial transformer fleets.
It is built on multi-year sensor and failure data — around three years — then validated out-of-time on a further year before going live.
