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contributor authorAyele, Abel D.
contributor authorZarembski, Allan M.
contributor authorPalese, Joseph
date accessioned2026-08-20T11:11:11Z
date available2026-08-20T11:11:11Z
date copyright2025/07/29
date issued2025
identifier otherJITSE4.ISENG-2680.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311812
description abstractAbstractThis paper investigates the feature extraction effectiveness of three signal decomposition techniques, short-time Fourier transform (STFT), Hilbert Huang transform (HHT), and wavelet transform (WT), for analyzing railroad track geometry data. ...Practical ApplicationsThis study evaluates and compares the performance of three signal decomposition techniques used to analyze railroad track geometry data for track conditions assessment. Analysis of track geometry data to extract features relevant to ...
publisherAmerican Society of Civil Engineers
titleSignal Decomposition Techniques for Railroad Track Safety and Ride Quality Features Extraction: A Multicriteria Selection Framework
typeJournal Article
journal volume31
journal issue4
journal titleJournal of Infrastructure Systems
identifier doi10.1061/JITSE4.ISENG-2680
journal fristpage04025027-1
journal lastpage04025027-12
page12
treeJournal of Infrastructure Systems:;2025:;Volume ( 031 ):;issue: 004
contenttypeFulltext


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