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dc.contributor.authorAyele, Abel D.
dc.contributor.authorZarembski, Allan M.
dc.contributor.authorPalese, Joseph
dc.date.accessioned2026-08-20T11:11:11Z
dc.date.available2026-08-20T11:11:11Z
dc.date.copyright2025/07/29
dc.date.issued2025
dc.identifier.otherJITSE4.ISENG-2680.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311812
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleSignal Decomposition Techniques for Railroad Track Safety and Ride Quality Features Extraction: A Multicriteria Selection Framework
dc.typeJournal Article
dc.journal.volume31
dc.journal.issue4
dc.journal.titleJournal of Infrastructure Systems
dc.identifier.doi10.1061/JITSE4.ISENG-2680
dc.journal.fristpage04025027-1
dc.journal.lastpage04025027-12
dc.page12
dc.treeJournal of Infrastructure Systems:;2025:;Volume ( 031 ):;issue: 004
dc.contenttypeFulltext


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