Sensor fault classification and reconstruction frameworks are crucial for the stable, safe, and
reliable operations of Structural Health Monitoring (SHM) systems. Existing literature …

This paper provides a comprehensive and systematic review of fault diagnosis methods
based on artificial intelligence (AI) in smart distribution networks described in the literature …

The rapid growth of mobile applications and online e-commerce websites has made it easy
to gather information to create an enormous quantity of training data to aid consumers in …

Every part of society relies on energy systems due to the growing population and the
constant demand for energy. Because of the high energy demands of transportation …

With the ever-increasing penetration level of renewable energy and emerging electricity
demand, it is very important to ensure the safe and reliable operation of the modern …

Background: The electric power transmission line plays a vital role in ensuring a consistent
and reliable supply of electrical power. However, due to their long length, these lines are …

The extensive integration of distributed generation (DG) units leads to significant changes in
the operation of power distribution systems (PDS). Integrating DG units contributes to …

The identification and classification of broken conductor faults in power distribution systems
(PDSs) is challenging because of the nonlinear and complex nature of the unbalanced three …

Fault location has been crucial in minimizing fault restoration time. Various techniques and
methodologies have been deployed to enhance the performance of fault location algorithms …

Power transformers are one of the most critical elements of the electrical Power System
because of the aforementioned function in the voltage regulation and power supply. It is very …