Results 111 to 120 of about 1,967 (202)

Research on Maintenance Process Technology for Rail Vehicle Carbody Surface Quality

Chengshi guidao jiaotong yanjiu
Objective After manually polishing the surface of railway vehicle carbodies and subsequently repairing paint defects, because of uncertainties in the vehicle operating environment and varying degrees of paint deterioration, the surface maintenance ...
ZHENG Li, XUE Ping, CHEN Jun, ZENG Lirong, XIONG Xu, SHI Fuguang   +5 more
doaj   +1 more source

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

Computer-Aided Civil and Infrastructure Engineering, 2022
Yunpeng Wu, Yong Qin 0002, Yu Qian, Feng Guo, Zhipeng Wang 0002, Limin Jia 0002   +5 more
openaire   +1 more source

Optimising digital signal processor‐based defect detection in smart manufacturing with lightweight convolutional neural networks

IET Collaborative Intelligent Manufacturing
Industrial defect detection is an important part of intelligent manufacturing, and Internet of things (IoT)‐based defect detection is receiving more and more attention. Although deep learning (DL) can help defect detection reduce the cost and improve the
Han Yue, Rucen Wang, Yi Gao, Ailing Xia, Kaikai Su, Jianhua Zhang   +5 more
doaj   +1 more source

Edge-Aware Illumination Enhancement for Fine-Grained Defect Detection on Railway Surfaces

Mathematics
Fine-grained defects on rail surfaces are often inadequately detected by conventional vision-based object detection models in low-light environments.
Geuntae Bae, Sungan Yoon, Jeongho Cho
doaj   +1 more source

Rail Defect Detection Using Fiber Optic Sensors and Wavelet Algorithms

, 2018
Early detection of rail defects can avoid derailments and costly damage to the train and railway infrastructure. Small breaks, cracks or corrugations on the rail can quickly propagate after only a few train cars have passed over it, creating a potential ...
Vahid Sotoudeh, Saied Taheri, Behzad Moslehi, Brad M. Hopkins   +3 more
core   +1 more source

Automatic inspection of wheel surface defects using a combination of laser sensors and machine vision

SICE Journal of Control, Measurement, and System Integration
The safety of railways is ensured by the regular maintenance of tracks, signals and rolling stocks. This mainly involves manual inspection by skilled maintainers and automated inspection systems are not commonly used.
Takeshi Emoto, Ankit A. Ravankar, Abhijeet Ravankar, Takanori Emaru, Yukinori Kobayashi   +4 more
doaj   +1 more source

Ultrasonic rail defect inspection-technology and applications

, 2020
U suvremenim željezničkim sustavima, tračnice su izložene stalnom porastu brzine i opterećenja s osovina vozila te stalnom porastu naprezanja u zavarenim spojevima.
Pavić-Brčić, Ante
core  

On-line high-speed rail defect detection : part II. [PDF]

FR-RRD-0001-10-01-00The objectives of this project were (1) to improve the defect detection reliability and (2) to improve the inspection speed of conventional rail defect detection methods.
Lanza di Scalea, Francesco, Salamone, Salvatore, Bartoli, Ivan, Phillips, Robert, University of California, San Diego, Coccia, Stefano, Rizzo, Piervincenzo   +6 more
core  

Rail defect detection using ultrasonic surface waves

Current testing of the rail network is limited in terms of both speed of testing and PF accuracy of detecting surface defects such as gauge corner cracking.

core  

Evaluation of rail surface cracks using laser ultrasonic technique

, 2017
In order to detect and evaluate rail surface fatigue cracks, this paper proposes a non-contact laser ultrasonic technique based on data fusion and wavelet packet analysis. The theory for defect depth detection using Rayleigh wave was described via finite
Jiang Y, Tian G, Gao Y, Wang H, Yi Q, Xu J, Hu P   +6 more
core