Performance assessment of machine learning techniques in electronic nose systems for power transformer fault detection

Oil-filled transformers are critical assets in electrical power systems, both economically and operationally. Their condition is assessed through insulation system, which is greatly affected by various degradation mechanisms. Hence, effective fault diagno