End User
ELGO
Description
The Power Quality-Based Transformer Health Intelligence service uses power quality and load data from transformer monitoring devices to calculate a Transformer Unit Health Index, detect abnormal trends, and identify early signs of degradation. The service supports more proactive maintenance planning, helps prioritise higher-risk units, and contributes to reducing unplanned outages across the distribution fleet.
Core Capabilities
Monitoring & Anomaly Detection
Predictive & Prescriptive Analytics
Business Need
Early degradation signals in distribution transformers are difficult to identify consistently across a larger asset base using conventional threshold-based monitoring. The service turns available power quality measurement data into health scores, trend indicators, and alerts that enable maintenance and asset management teams to act earlier, plan interventions more effectively, and avoid unplanned outages.
Key Performance Indicators
Anomaly trend detection reliability: stability of health index under normal operating conditions
Alert usefulness: proportion of alerts confirmed as relevant by maintenance teams
Health index stability under normal conditions
Portfolio prioritisation accuracy: ability to rank higher-risk units from remaining fleet
Data Provided
Transformer Asset Health Index score per monitored unit
Expected baseline behaviour, deviation measures, trend velocity, and alert flags
Aggregated portfolio views highlighting higher-risk units
Note: Service designed for use with Iskra MC7xx/iMC7xx monitoring devices and MiSmart SQL environment
TEF
TEF TSO