Verdigris Signals: Predicting Failure Through Power Anomalies

Scaling Waveform Intelligence for Predictive Fault Detection

Legacy BMS and EPMS systems miss what matters most. Slow telemetry and static thresholds trigger alerts after the damage is done—masking root causes and eroding trust in automation.

This white paper introduces Verdigris Signals, the first system to scale waveform intelligence across assets, facilities, and portfolios. Using 8 kHz electrical data, Signals learns precursor patterns invisible to conventional FDD systems, enabling faster, more confident detection and prediction.

What You’ll Learn

📌 Why 8 kHz matters: How high-frequency waveform data exposes fault precursors missed by 15-minute averages.

📌 Beyond single-point faults: How multi-layered anomaly detection across HVAC, UPS, and power systems reduces false positives.

📌 Real-world waveform metrics: How current harmonics, THD_V, and voltage sags correlate to outages—and how to quantify confidence and latency.

🔽 Read the Technical Analysis Now 🔽

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