This paper reviews the current research status of rolling bearing fault diagnosis technology
for railway vehicles. Several domains are covered, including vibration fault diagnosis …

The increasing integration and complexity of rotating machinery have led to the difficulty of
its fault diagnosis. Condition-based maintenance (CBM) strategy is becoming more and …

Wheel defects can induce damage to the railway tracks, increasing considerable
maintenance costs for both railway administrations and rolling stock operators. This paper …

The main goal of this paper is to present an unsupervised methodology to identify railway
wheel flats. This automatic damage identification algorithm is based on the acceleration …

The gradual deterioration of train wheels can increase the risk of failure and lead to a higher
rate of track deterioration, resulting in less reliable railway systems with higher maintenance …

One of the most common types of wheel damage is flats which can cause high maintenance
costs and enhance the probability of failure and damage to the track components. This study …

Due to the increasing demand for safer and faster rail transport, train wheelsets operating
under high axle loads require more careful and reliable inspections and maintenance …

In recent decades, there has been a constant demand for faster, longer, and safer railway
networks. This also brings challenges for condition monitoring systems in modern railway …

Through the integration of advanced sensor technologies and machine learning algorithms,
artificial intelligence has revolutionized wayside monitoring in the railway sector. Although …

Wayside acoustic detection of train bearing faults plays a significant role in maintaining
safety in the railway transport system. However, the bearing fault information is normally …