Predictive Maintenance by Transformer Monitoring
A. Eberle Africa's Trafostick™ range provides continuous online monitoring of both power transformers (PTs) and distribution transformers (DTs). By measuring breakdown voltage (BDV) online, up to two dissolved gases, and other critical performance parameters in real time, TrafoStick™ provides valuable insights into transformer health. It also estimates the remaining service life of transformer insulation, enabling proactive maintenance, improving reliability, and reducing the risk of unexpected failures.
The TrafoStick™ TS G5 combines continuous breakdown voltage (BDV) monitoring with dissolved gas analysis by measuring Hydrogen (H₂) and Carbon Monoxide (CO), alongside water content and oil temperature. This advanced sensor provides early warning of insulation deterioration and developing transformer faults, helping maximise asset life and reduce unplanned outages.
Product Enquiry Technical Data Sheet Technical Applications Report - EN Technical Applications Report - NL
The TrafoStick™ TS G2 delivers advanced online transformer monitoring by combining breakdown voltage (BDV), hydrogen (H₂), moisture, oil temperature, oil pressure and partial discharge indication in a single sensor. It provides a comprehensive view of transformer condition, enabling earlier fault detection and improved asset reliability.
Product Enquiry Technical Data Sheet
The TrafoStick™ TS G4 continuously monitors transformer oil breakdown voltage (BDV), water content and temperature to provide a clear indication of insulating oil quality. Real-time measurements help identify oil degradation before it impacts transformer performance or reliability.
Product Enquiry Technical Data SheetContinuous condition monitoring to prevent failures and extend transformer lifespan.
Integration with SCADA for real-time thermal, electrical, and operational data.
Ensuring transformer reliability in energy-intensive environments like mining, steel, and manufacturing.
Monitoring transformer performance in solar and wind power systems exposed to variable loads.
Supporting predictive maintenance and lifecycle analysis for critical grid infrastructure.
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