Why This Matters
Predictive maintenance converts $1 million emergency events into $144,000 scheduled interventions — an 86% cost reduction.
5–24 days
Early Warning
Before failure occurs
86%
Cost Reduction
Per failure event
72%
Less Downtime
In digital twin simulation
5%
Break-even
Only need to prevent 1 in 20
Validated on 8 datasets
Our LSTM autoencoder achieved AUC up to 1.000 on public benchmark datasets and 0.9995 on cross-dataset transfer tests with zero false alarms.
Ready for field deployment
The system is validated in lab, tested through digital twin simulation, and ready for field pilot at industrial facilities. Each deployment adds training data and improves accuracy.