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 improve the reliability and reduce the maintenance cost of transformer oil, a life prediction of transformer oil is needed so that the maintenance of transformer can be performed correctly. However ...

Bengaluru: As climate concerns increasingly influence infrastructure planning worldwide, Karnataka Power Transmission ...