Project 26 · Industrial IoT / Medium-Voltage Infrastructure

13kV RMU Fault Detection System

Partial-Discharge Sensing with Evidence-Rich Alerts

Industry
Industrial IoT / Medium-Voltage Infrastructure
Services
Electrical Engineering Embedded Systems Analytics
TRL
2 → 8
Duration
9 months
Technologies
Partial-discharge sensing current/voltage metering edge AI
RMU sensor retrofit
Figure 1 — Sensor pod retrofit on 13 kV RMU front view.
Partial discharge signature
Figure 2 — Phase-resolved partial discharge waveform with classifier.
RMU fault dispatch alert
Figure 3 — Dispatch alert with evidence payload.
Real-world 13kV RMU Fault Detection System installation
Figure 4 — Real-world deployment.
Sensor pod sub-assembly — probe module and edge electronics in the field enclosure.

Project background

A utility operator faced high costs and customer impact from ring main unit faults detected only after outages occurred. They required a retrofit system that could identify incipient faults before failure.

Challenge

Medium-voltage environments are electrically noisy and physically constrained. The system had to sense meaningfully — partial discharge, thermal anomalies, load imbalance — without interfering with the RMU itself, and had to justify each alert to dispatch engineers.

Approach & solution

We engineered a sensor pod with partial-discharge, temperature, and current/voltage measurement, feeding an edge analytics unit that classified signatures against known fault patterns. Alerts carried supporting evidence — trend, signature type, and confidence — to make dispatch decisions defensible.

Results & benefits

The system flagged incipient faults in pilot deployments that would otherwise have progressed to outages. Field engineers reported that the evidence attached to each alert made triage fast and reduced false-positive fatigue.

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