Predictive maintenance (PdM) uses statistical and machine learning methods to detect and
predict the onset of faults. PdM is often used in industrial IoT settings in the energy sector …

This article considers the problem of designing robust event-triggered functional observers
for linear interconnected systems with disturbances. The considered system comprises …

This article proposes an auxiliary framework to address the challenges of transformer
differential protection for single-phase transformers or three-phase transformer banks. This …

Protective relays can mal-operate for transmission lines connected to doubly fed induction
generator (DFIG) based large capacity wind farms (WFs). The performance of distance …

Ferroresonance is characterized by overvoltage and irregular operation in power systems,
which can greatly endanger system equipment. Mechanism analysis of the ferroresonance …

This article discriminates the internal faults from magnetizing inrush for a 3-phase
transformer using a Decision Tree (DT). Afterwards, the internal faults are classified with DT …

Preventive maintenance in the transformer is performed through a differential relay
protection system, and it protects the transformer from internal and external faults. However …

Internal and external faults in a power transformer are discriminated in this paper using an
algorithm based on a combination of a discrete wavelet transform (DWT) and a probabilistic …

Faults during symmetrical power swings cause maloperation of distance relay. Undesired
operation also occurs during unstable power swings causing uncontrolled islanding. Faster …

This paper presents a supervised machine-learning technique for incipient fault
identification in an underground cable. The nature of the incipient fault is aberrant so it is …