Model for Detecting Flaws in Railway Rails using Machine Learning
Jernbaneselskap ansvarlige for infrastrukturen til jernbanen hyrer inspeksjonsfirmaer til å inspisere skinnene for å finne defekter. Inspeksjonsfirmaene bruker tog til å skanne skinnene ved hjelp av ultralyd i relativt høye hastigheter. Deretter utfører jernbaneselskapene manuelle inspeksjoner av de antatte defektene, fordi den initielle inspeksjonen ...
openaire +1 more source
Research on geometric parameter quantification of rail rolling contact fatigue crack damage based on 2D optical image. [PDF]
Wang Y, Miao B, Zhang Y, Huang Z.
europepmc +1 more source
The semi-analytic solution to the magnetic field of frequency-band-selecting eddy current testing for local corrosion flaw in large diameter pipeline. [PDF]
Fu K +6 more
europepmc +1 more source
A multi-scale adaptive framework for high-precision rail track damage detection via StarNet and bidirectional feature pyramid network. [PDF]
Pang Y +10 more
europepmc +1 more source
Structural Integrity Assessment of Concrete Sleepers by Modal Test Technique. [PDF]
Choi JY, Shin TH, Kim SH, Chung JS.
europepmc +1 more source
AI-driven vibration-based event classification in railway switches and crossings. [PDF]
Amin MA, Najeh T, Ghoul A.
europepmc +1 more source
DeepTrackSecure: an integrated classification-detection system with predictive risk analytics for proactive railway safety management. [PDF]
Balakrishnan P +4 more
europepmc +1 more source
Acoustic and Ultrasonic Sensing Technology in Non-Destructive Testing. [PDF]
Castiñeira-Ibáñez S +2 more
europepmc +1 more source
Failure assessment and evaluation of locomotive coil spring suspension system. [PDF]
Shanmugam T +3 more
europepmc +1 more source
Intelligent Classification Method for Rail Defects in Magnetic Flux Leakage Testing Based on Feature Selection and Parameter Optimization. [PDF]
Ji K, Wang P, Jia Y.
europepmc +1 more source

