Key Technologies
Advanced capabilities that set InverterAI apart
Physics-Informed Neural Networks
PINN architecture regularized with Coffin-Manson and Arrhenius residuals — physical laws constrain the model so predictions are always thermodynamically consistent.
Virtual Tj Sensing
Foster/Cauer thermal network estimates IGBT junction temperature without direct sensors — the most critical unmeasurable variable in inverter health.
Uncertainty Quantification
Confidence intervals with every RUL prediction for risk-informed maintenance decisions.
Explainable AI
SHAP + Integrated Gradients attribution per inverter with transparent reasoning for every prediction.
Technical Specifications
95%+
Accuracy
10 ppm
Detection
<60s
Analysis
1-20
Year Forecast
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