Physics-Informed Anomaly Detection
In the world of critical infrastructure, "close enough" is a catastrophic failure. Traditional anomaly detection models—often trained on generic statistical variances—frequently miss the subtle, transient signatures of physical degradation until it's too late.
At Oxaide, we believe that auditing industrial assets requires more than just statistics; it requires Physics-Informed Intelligence.
The Problem with Statistical "Black Boxes"
Standard machine learning models treat telemetry (voltage, temperature, current) as abstract data points. They look for statistical outliers. But in a Battery Energy Storage System (BESS), an outlier isn't always an anomaly, and a critical anomaly isn't always an outlier.
A sub-second voltage sag might be statistically insignificant across a 24-hour window, but when cross-referenced against the laws of thermodynamics and internal cell resistance, it becomes a definitive signal of an imminent thermal runaway.
The Oxaide Verify Methodology
Oxaide Verify implements Physics-Informed Neural Networks (PINNs) to bridge the gap between AI and the physical world. Our forensic auditor doesn't just "see" data; it understands the physical constraints of the asset it’s monitoring.
1. Transient Scan at 10ms Resolution
Most enterprise analytics aggregate logs into 1-minute or 5-minute averages. Oxaide Verify ingests raw telemetry at the kernel level, auditing dV/dt (voltage change over time) spikes at sub-second resolution.
2. Physical Ground Truth Cross-Referencing
We map telemetry against the asset's "Golden Physics Profile." If Temperature (T) and Current (I) deviate from the expected thermal dissipation curve, a high-priority Audit Alert is generated—even if the raw numbers are technically within the "Operating Range" defined by the OEM.
3. Forensic Traceability
Every finding is backed by a forensic audit trail. We don't just say "Cell #7 is failing." We provide the fractional-second timestamp, the specific voltage signal, and the physical law that was violated.
Case Study: BESS Forensic Scrubbing
Recently, Oxaide Verify was deployed to audit 4.5GB of forensic logs from a utility-scale BESS project.
- The Challenge: Persistent "ghost faults" were causing 12% yield leakage.
- The Finding: Within 15 minutes of ingestion, our Physics-Informed Engine identified a sub-second thermal escalation pattern in Asset #7.
- The Diagnosis: Internal resistance breach confirmed. The fault was invisible to the standard SCADA monitoring but definitive under our physics-informed transient scan.
Closing the Liability Gap
For project owners and engineering firms, this level of precision isn't just a technical achievement—it's a liability safeguard. By moving from reactive monitoring to Forensic Diagnostic Auditing, you gain a "Verified" stamp on your asset's physical integrity.
Oxaide Verify is now available for specialized BESS, Maritime, and Grid-Scale Industrial Audits.
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