Built by the team behind Ducon Infratechnologies — see exactly how the AI reliability model works, using two live simulated power plants with real, verifiable numbers.
In our live simulated 500 MW coal plant, the forced draft fan's drive-end bearing vibration climbed to roughly 2.7x its healthy baseline. Here's exactly what the model outputs for that condition — run it yourself in the demo.
Signal: Drive-end vibration trending sharply upward against its ideal baseline.
Model output: A cohort-based survival model compares this trend to similar fans' real failure history.
What you'd do: Schedule a bearing inspection now — budget for it this year, not as an emergency shutdown.
The same live demo's boiler shows superheater tube metal temperature and flue gas exit temperature both trending up — the classic signature of fouling, not yet a failure, but worth acting on.
Signal: Flue gas exit temperature rising for the same load — heat transfer surfaces losing efficiency.
Model output: Moderate, rising risk — not urgent, but worth scheduling.
What you'd do: Plan a soot-blow cycle review in the next maintenance window, not an unplanned outage.
IQ Energy AI is built by the team behind Ducon Infratechnologies — an NSE-listed infrastructure and engineering company with hundreds of installations across power plants, refineries, mining, and other large energy-producing operations. We're bringing that same operational rigor to AI-driven predictive maintenance — the same reliability model, running live above, that powers every customer's dashboard. Explore it yourself, then talk to us about becoming one of our founding pilot partners.
Explore the live simulated dashboard — the same model, the same numbers, no access to your systems required.
See a Live Demo Plant