Recently, to ensure the reliability and safety of high-speed trains, detection and diagnosis of
faults (FDD) in traction systems have become an active issue in the transportation area over …

With the popularization of the intelligent manufacturing, much attention has been paid in
such intelligent computing methods as deep learning ones for machinery fault diagnosis …

High-speed trains have become one of the most important and advanced branches of
intelligent transportation, of which the reliability and safety are still not mature enough for …

The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …

Abstract To implement Prognostics and Health Management (PHM) for industrial systems, it
is paramount to conduct early fault prognosis on the systems to ensure the stability and …

Improving transportation efficiency is an eternal research hotspot in rail transit system. In
recent years, the train operation control method based on virtual coupling has attracted the …

The need to manufacture more competitive equipment, together with the emergence of the
digital technologies from the so-called Industry 4.0, have changed many paradigms of the …

Incipient faults almost occur gradually at a low rate in systems and usually are unnoticeable
during their early stages. If diagnostic tools or proper monitoring systems ignore them, they …

Deep learning (DL) applications have redefined the state of the art performance for bearing
data driven fault detection and identification, a crucial demand of modern industrial systems …

For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique
plays an important role. Benefiting from the rapid developments of artificial intelligence …