End User
ELGO
Description
The Transformer Thermal and Vibration Anomaly Detection service monitors distribution transformers using vibration measurements, infrared thermal images, and aligned operating data to detect deviations from normal behaviour and identify early signs of potential mechanical or thermal problems. The service supports preventive maintenance planning and provides an additional health-related signal for asset monitoring.
Core Capabilities
Monitoring & Anomaly Detection
Business Need
Abnormal transformer behaviour may develop gradually and is difficult to identify early without combining multiple types of measurements. Current monitoring practices may miss early warning signs until they escalate to functional failures or safety hazards. The service helps maintenance engineers detect meaningful deviations sooner, enabling timely preventive intervention and a path toward extending this monitoring concept to additional transformers.
Key Performance Indicators
Anomaly detection reliability: stability of anomaly score during normal operation
Alarm interpretability: proportion of alarms clearly attributable to vibration, thermal patterns, or operating conditions
Detection lead time: advance notice before confirmed transformer failures
False alarm rate under normal operating conditions
Data Provided
Alarm flag, anomaly score, reference baseline, and deviation metrics per analysis run
Variable-level contribution indicators identifying which signals triggered the alarm
Structured outputs for integration into asset health platforms
TEF
TEF TSO