PredictiveCore — predict failures before they happen
Machine learning models trained on industrial equipment data. Know your remaining useful life before your maintenance team gets the call.
Gradient BoostingRUL estimationKafkaCMAPSS
What PredictiveCore does
RUL estimation
Gradient Boosting models trained on CMAPSS benchmark data. Interface designed for PyTorch LSTM/GRU upgrade.
Maintenance scheduling
Automatically generates work order recommendations based on predicted failure windows.
Model architecture
Scikit-learn core, designed for seamless swap to deep learning models as operational data accumulates.
Data pipeline
Consumes sensor streams from GridSense via Kafka event bus.
Current models are trained on synthetic CMAPSS benchmark data. Production accuracy improves significantly once calibrated on your specific equipment profiles. Custom training is part of the deployment engagement.