In the era of Industry 4.0, highly complex production equipment is becoming increasingly
integrated and intelligent, posing new challenges for data-driven process monitoring and …

Electric vehicle (EV) is crucial for future transportation which will improve fuel economy and
contributes toward the reduction of emissions. EVs are becoming an increasingly integrated …

This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

Graph neural network (GNN)-based fault diagnosis (FD) has received increasing attention in
recent years, due to the fact that data coming from several application domains can be …

To ensure the continuity of electric power generation for photovoltaic systems, condition
monitoring frameworks are subject to major enhancements. The continuous uniform delivery …

Electric and Flying Vehicles (EnFVs) represent a transformative shift in transportation,
promising enhanced efficiency and reduced environmental impact. However, their …

Abstract numerous diagnostic techniques targeted at increasing electrified drive powertrains
system (EDPS) dependability and durability have been proposed, motivated by the growing …

Accurate and cost-effective diagnosis and prognosis of photovoltaic (PV) system failures is
crucial for prolonged operational efficacy and minimizing operation and maintenance costs …

Photovoltaic (PV) fault detection is crucial because undetected PV faults can lead to
significant energy losses, with some cases experiencing losses of up to 10%. The efficiency …

Electric powertrain is constituted by electric machine transmission unit, inverter and battery
packs, etc., is a highly-integrated system. Its reliability and safety are not only related to …