Electrica signature analysis (ESA) uses the magnetic field in the air gap of an electrical machine to evaluate power quality conditions. Dry and oil transofrmer types are subject to problems ...

This work examines the application of machine learning (ML) algorithms to evaluate dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed transformers (OITs).

To address the issues of low coupling accuracy and poor adaptability to time-varying boundaries in traditional transformer thermal analysis, an electric-magnetic-flow-thermal multi-field coupling ...

Royal SMIT, a company of the SGB-SMIT Group, acquires today the Transformer Oil Laboratory of DNV, the independent energy expert and assurance provider, pursuant to the agreement executed between the ...