Current trends in Naval shipboard power system architecture indicate that the electrification
of future warships is inevitable, and it will be equipped with loads that draw periodic pulsed …

To prevent serious malfunctions and reduce the impact of faults during an emergency state
of a power system, protection systems are required to have disturbance and fault state …

An effective bearing fault diagnosis model based on machine learning is proposed in this
study. The model can separate into three stages: feature extraction, feature selection, and …

The development of a network termed microgrid (MG) has been motivated owing to
augmentation in renewable energy source (RES) infiltration along with the utilization of …

Dc loads are increasingly used in electric ship power systems supplying a larger amount of
power electronic loads. The need for load monitoring and fault detection in dc microgrids …

Nowadays, cyber-hacking is the serious problems facing in real life from small organizations
to very big organizations. This is a generally new exploration subject and numerous …

Motor fault diagnosis is an important task in the operational monitoring of electrical
machines in manufacturing. This study proposes an effective bearing fault diagnosis model …

In the digital modern age, where all data is processed with respect to automated transfers
and protection provision are a major concern the remaining reason for the intruders/hackers' …

This paper presents the proposed algorithms for the identification of Short Duration RMS
Variations and Long Duration RMS Variations combined with harmonic. The proposed …

Security is one amongst of the main issues in every sector space whether or not it is
banking, railways or the other area wherever individuals want security. We are able to do …