Defects in the rails can affect the operational safety of the railway. In order to examine the
knowledge structure of the research about the ultrasonic testing of rail defects, a systematic …

Eddy current testing (ECT) is an established non-destructive evaluation (NDE) technique to
evaluate materials. In last decade, machine learning (ML) has revolutionized many areas …

Introduction The surface images of steel rails are extremely difficult to detect and recognize
due to the presence of interference such as light changes and texture background clutter …

The development of an automated rail line defect classification system is of great benefit, as
railway tracks must be periodically monitored and inspected to guarantee the safety of rail …

The presented research addresses the real-time object detection problem with small and
moving objects, specifically the surface-mount component on a conveyor. Detecting and …

In this paper, we propose a classification and quantitative method based on the optimization
model of dimensionality reduction for detecting crack defects in superalloy turbine disks …

Tangle anomalies represent a critical quality bottleneck in the dyeing and finishing process.
The key problem is that most dyeing and finishing factories in Taiwan are small and medium …

In the present era of Industry 4.0, the manufacturing sector has expressed its high approval
of automated camera-based weld defect detection in micro, small, and medium enterprises …

In real rail operations, defects that can lead to serious accidents occur at very low
frequencies, resulting in sample scarcity and class imbalances in rail defect datasets. Under …

Abstract Ultrasonic Guided Waves (UGWs) play a vital role in the non-destructive testing due
to exceptional sensitivity to small damage. This study proposes an integrated two-stage …