Know Which Starts Will Fail
DOTA AI analyzes every start attempt from PI, GADS and weather, finds the failure patterns, and scores which units are at risk before the next cold snap.
Captions are burned in. Illustrative data. No real utility names or plant names are used.
Combined cycle and peaker plant managers, reliability engineers, trading desks
Failed starts cost fuel, penalties and lost margin, and they cluster in cold weather when the market needs the units most.
DOTA AI analyzes every start attempt from PI, GADS and weather, finds the failure patterns, and scores which units are at risk before the next cold snap.
From a question to a deployed app.
Ask
Analyze 12 months of start attempts for every CT and find which are most at risk this winter.
Connect
PI start sequences, GADS events, weather history and CMMS work orders.
Analyze
Start reliability by unit, and failure rate by ambient temperature band.
Act
Maintenance inspects the igniters before the cold snap; trading knows which units to count on.
- About $38K per failed start
- CT-3B is the weakest, at 88.6% start reliability
- Ignition failures cluster below 20°F
- CT-3B has a 31% chance of failing the next cold start
- Inspect the igniters before the cold snap
The takeaway
Start when it counts.
Build know which starts will fail on your data.
See DOTA AI build a real utility app on your data in a 30-minute working session.