A sensitive wavelength-enhanced reconstruction algorithm for track quality assessment based on measured data and vehicle dynamics-Reference-Cited by-同舟云学术

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A sensitive wavelength-enhanced reconstruction algorithm for track quality assessment based on measured data and vehicle dynamics

Published:2025-01 Issue: Volume:240 Page:115627
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Chen Zelin^ORCID,Cai Xiaopei^ORCID,Tang Xueyang,Wang Meng,Liu Weibin

Publisher

Elsevier BV

Reference43 articles.

1. Track geometry degradation and maintenance modeling: a review;Soleimanmeigouni;Proc. Inst. Mech. Eng. Part f: J. Rail. Rapid. Transit.,2018

2. Track geometry estimation from vehicle–body acceleration for high-speed railway using deep learning technique;Hao;Veh. Sys. Dyn.,2023

3. Axlebox accelerations: their acquisition and time-frequency characterisation for railway track monitoring purposes;Salvador;Measurement,2016

4. Ballastless track mortar layer void detection by high-order statistical analysis of axle box acceleration;Miao;Measurement,2023

5. Ballastless track arching recognition based on one-dimensional residual convolutional neural network and vehicle response;Tang;Constr. Build. Mater.,2023

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