Monitoring of winding faults is of great significance for the assessment of the transformer
maintenance status. In this study, the time series analysis is combined with frequency …

Abstract For Western European countries, many macroeconomic factors that have
influenced environmental quality in several studies have been investigated. In this region …

Predictive maintenance strategies have gained popularity in recent years due to the
advantages they provide over traditional maintenance strategies. Online monitoring …

Thermal models are widely used for diagnosing thermal faults, predicting the thermal
behaviour, estimating hot spots, and evaluating the loading capacity. This paper uses a new …

In this manuscript, a hybrid approach for optimal detection and classification of fault on load
tap changer of power transformer is presented. The proposed hybrid approach is the …

Frequency response analysis (FRA) provides valuable information on internal electrical and
mechanical faults in a transformer. This information can also be used to diagnose the turn-to …

This paper proposes a SUGPDS model based on Detection and Isolation algorithm and
smart sensors, namely micro phasor measurement unit, smart sensing and switching device …

This paper proposes a methodology for the diagnosis of electrical system conditions using
fractional-order integral transforms for feature extraction. This work proposes three feature …

Various faults can occur in 3-phase power transformers in power conversion systems,
among which inter-turn short circuit fault is critical since this type of fault can escalate rapidly …

Existing interturn fault detecting methods rely on winding impedance, winding current, and
dissolved gases. They are effective only when the insulation is severely damaged. This …