Asset Protection Core
Anomaly Detection
Utilizing Autoencoders to identify non-linear vibration patterns that signify early-stage bearing or seal degradation.
Edge Intelligence
Deploying models directly on Edge-AI nodes for real-time alerting without the latency of central cloud round-trips.
Forensic Archiving
Managing petabytes of high-frequency sensor logs on Lustre/GPFS for continuous failure mode analysis and model retraining.
Predictive Logic Pipeline
| Phase | AI Action | Outcome |
|---|---|---|
| Ingestion | High-speed streaming of IoT telemetry to NVMe-accelerated clusters. | High-Fidelity Anomaly Base |
| Inference | Running failure prediction models on GPU-Inference engines. | Instant Failure Alerting |
| Retraining | Updating models with "near-miss" data via centralized AI-Clusters. | Continuous Model Evolution |