A comprehensive review of loosening detection methods for threaded fasteners

J Huang, J Liu, H Gong, X Deng - Mechanical Systems and Signal …, 2022 - Elsevier
Loosening of threaded fasteners can cause preload decline, induce bolt fatigue fracture, and
severely compromise the reliability of mechanical products. Loosening detection is an …

A review of railway infrastructure monitoring using fiber optic sensors

C Du, S Dutta, P Kurup, T Yu, X Wang - Sensors and Actuators A: Physical, 2020 - Elsevier
In recent years, railway infrastructures and systems have played a significant role as a highly
efficient transportation mode to meet the growing demand in transporting both cargo and …

Automatic defect detection of fasteners on the catenary support device using deep convolutional neural network

J Chen, Z Liu, H Wang, A Núñez… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The excitation and vibration triggered by the long-term operation of railway vehicles
inevitably result in defective states of catenary support devices. With the massive …

Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study

X Wei, Z Yang, Y Liu, D Wei, L Jia, Y Li - Engineering Applications of …, 2019 - Elsevier
The railway track fasteners play a critical role in fixing the track on the ballast bed. Achieving
full automation of the fastener defect detection is significant in terms of ensuring track safety …

Automatic defect detection of metro tunnel surfaces using a vision-based inspection system

D Li, Q **e, X Gong, Z Yu, J Xu, Y Sun… - Advanced Engineering …, 2021 - Elsevier
Due to the impact of the surrounding environment changes, train-induced vibration, and
human interference, damage to metro tunnel surfaces frequently occurs. Therefore …

Hybrid deep learning architecture for rail surface segmentation and surface defect detection

Y Wu, Y Qin, Y Qian, F Guo, Z Wang… - Computer‐Aided Civil …, 2022 - Wiley Online Library
Rail surface defects (RSDs) are a major problem that reduces operation safety.
Unfortunately, the existing RSD detection systems have very limited accuracy. Current …

Deep multitask learning for railway track inspection

X Gibert, VM Patel, R Chellappa - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Railroad tracks need to be periodically inspected and monitored to ensure safe
transportation. Automated track inspection using computer vision and pattern recognition …

Intelligent recognition of defects in high‐speed railway slab track with limited dataset

X Cai, X Tang, S Pan, Y Wang, H Yan… - … ‐Aided Civil and …, 2024 - Wiley Online Library
During the regular service life of high‐speed railway (HSR), there might be serious defects
in the concrete slabs of the infrastructure systems, which may further significantly affect …

Real-time railroad track components inspection based on the improved YOLOv4 framework

F Guo, Y Qian, Y Shi - Automation in construction, 2021 - Elsevier
Abstract According to the Federal Railroad Administration (FRA) database, track component
failure is one of the major factors causing train accidents. To improve railroad safety and …

A hierarchical extractor-based visual rail surface inspection system

J Gan, Q Li, J Wang, H Yu - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
Rail inspection based on visual inspection system (VIS) has drawn much attention recently,
since VIS is automatic, fast, nondestructive, and objective. However, visual rail inspection is …