Results 31 to 40 of about 1,967 (202)
Applied Sciences, 2022 Magnetic flux leakage (MFL) detection is a common nondestructive detection method which is usually used to detect the surface defects of steel pipes and rails.
Yinliang Jia +5 more
doaj +1 more source
A vision-based system for inspecting painted slates [PDF]
, 2006 Purpose – This paper describes the development of a novel automated vision system used to detect the visual defects on painted slates. Design/methodology/approach – The vision system that has been developed consists of two major components covering ...
Carew, Tim +2 more
core +1 more source
Research On Real-time Detection Algorithm Of Rail-surface Defects Based On Improved YOLOX
Journal of Applied Science and Engineering, 2022 Real-time detection of rail surface defects is an important part of the future railway automation detection. Because of rail surface defects show multi-scale, small difference between background and prospect, therefore, a improved YOLOX real-time defect ...
Yongzhi Min, Jicheng Guo, Kun Yang
doaj +1 more source
Deep Learning and Laser-Based 3-D Pixel-Level Rail Surface Defect Detection Method
, 2023 Rail surface defect inspection is of particular importance in modern railways. Accurate and efficient surface defect detection approaches support optimized maintenance. This enables the safe operation of the railway network.
Stewart, Edward; id_orcid +11 more
core +1 more source
Identification of the acoustic emission source during a comparative study on diagnosis of a spur gearbox [PDF]
, 2005 Condition monitoring of gears with vibration analysis is well established whilst the application of acoustic emission (AE) to gear defect diagnosis and monitoring is still in its infancy.
Mba, David, Tan, Chee Keong
core +1 more source
Unsupervised Saliency Detection of Rail Surface Defects using Stereoscopic Images [PDF]
IEEE Transactions on Industrial Informatics, 2020 Visual information is increasingly recognized as a useful method to detect rail surface defects due to its high efficiency and stability. However, it cannot sufficiently detect a complete defect in the complex background information. The addition of surface profiles can effectively improve this by including a 3-D information of defects.
Menghui Niu +5 more
openaire +1 more source
Rail Surface Defect Detection Based on Image Enhancement and Improved YOLOX
, 2023 During the long and high-intensity railway use, all kinds of defects emerge, which often produce light to moderate damage on the surface, which adversely affects the stable operation of trains and even endangers the safety of travel.
Lifang Zhang +3 more
core +1 more source
Advanced Robotics Research, EarlyView.This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino +7 more
wiley +1 more source
An Improved Target Network Model for Rail Surface Defect Detection
Applied SciencesRail surface defects typically serve as early indicators of railway malfunctions, which may compromise the quality and corrosion resistance of rails, thereby endangering the safe operation of trains. The timely detection of defects is essential to ensure
Ye Zhang +4 more
doaj +1 more source
Inductive Thermography as Non-Destructive Testing for Railway Rails
Applied Sciences, 2021 Inductive thermography is a non-destructive testing method, whereby the specimen is slightly heated with a short heating pulse (0.1–1 s) and the temperature change on the surface is recorded with an infrared (IR) camera.
Christoph Tuschl +2 more
doaj +1 more source