TurbineTuner

TurbineTuner is a web + mobile AI-assisted condition monitoring app for small-to-mid hydro plants that can’t justify a full enterprise APM stack. It ingests existing SCADA historian tags (vibration proxies, bearing temps, wicket gate position, head/flow, MW output) plus maintenance logs, then flags abnormal efficiency drift and early warning patterns that typically precede forced outages. The product focuses on practical, explainable alerts: “Unit 2 efficiency down 3.2% at 18–22 m head vs baseline; likely trash rack fouling or runner roughness,” with confidence and the tags that drove it. It also provides lightweight workflows for operators to acknowledge alerts, attach photos, and generate a maintenance work order summary. This is not magic: it won’t replace OEM engineers, but it can catch slow degradation earlier and standardize decision-making across shifts.