Results 21 to 30 of about 4,571 (211)

Railway Tunnel Clearance Inspection Method Based on 3D Point Cloud from Mobile Laser Scanning

open access: yesSensors, 2017
Railway tunnel clearance is directly related to the safe operation of trains and upgrading of freight capacity. As more and more railway are put into operation and the operation is continuously becoming faster, the railway tunnel clearance inspection ...
Yuhui Zhou   +6 more
doaj   +1 more source

Inspection system for rail surfaces using differential images

open access: yes2017 IEEE Industry Applications Society Annual Meeting, 2017
This work was supported in part by the project TIN2014-56047-P of the Spanish National Plan for Research, Development, and Innovation.
Francisco Javier de la Calle Herrero   +2 more
openaire   +3 more sources

Urban Rail Transit Engineering Comprehensive Inspection Vehicle Based on Binocular Vision Positioning and Synchronous Triggering

open access: yesChengshi guidao jiaotong yanjiu
Objective Most urban rail transit tunnel and track work inspection still adopt conventional manual inspection method, which calls for effective improvement on inspection efficiency and accuracy.
Jun LI   +6 more
doaj   +1 more source

A UAV-Based Visual Inspection Method for Rail Surface Defects

open access: yesApplied Sciences, 2018
Rail surface defects seriously affect the safety of railway systems. At present, human inspection and rail vehicle inspection are the main approaches for the detection of rail surface defects.
Yunpeng Wu   +3 more
doaj   +1 more source

Development of Climbing Inspection Robot for Power Towers

open access: yesZhongguo dianli, 2020
Due to the complicated structure of power towers, researches rarely focus on climbing robot for tower inspection. Based on the T-shaped fall-prevention rail of tower, an inspection robot is developed with tower climbing function realized through ...
Xiaodong WEI   +7 more
doaj   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Detection of Rail Defects Using Phased Array Ultrasonic Technique [PDF]

open access: yesE3S Web of Conferences
The Phased Array Ultrasonic Technique (PAUT) is an advanced non-destructive inspection method that utilizes an array of ultrasonic testing (UT) probes consisting of several small elements.
Phrommahakul Nichapa   +4 more
doaj   +1 more source

Circular Economy Pathways for Airport Climate Change Mitigation

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Airport operators face growing climate‐change pressures; the circular economy offers pathways to reduce impacts and recover resources. We examine how airport operators apply the circular economy in practice. We use an exploratory qualitative multicase design based on practitioner‐generated documents (e.g., press releases and sustainability ...
Michele Oppioli   +3 more
wiley   +1 more source

The Wheel–Rail Contact Force for a Heavy-Load Train Can Be Measured Using a Collaborative Calibration Algorithm

open access: yesInformation
The wheel–rail contact force is a crucial indicator for ensuring the secure operation of a heavy-load train. However, obtaining the real-time wheel–rail contact force of a heavy-load train is a challenging task as, due to safety considerations, it is not
Tianning Wen   +3 more
doaj   +1 more source

An Accurate and Fast Method to Inspect Rail Wear Based on Revised Global Registration

open access: yesIEEE Access, 2018
Rail wear inspection is vitally important in the railway industry. Conventional methods mainly use manual or static measurements to detect rail wear, which are inefficient, imprecise, and unreliable.
Yue Yang, Long Liu, Bing Yi, Feng Chen
doaj   +1 more source

Home - About - Disclaimer - Privacy