{"id":"https://openalex.org/W2982262381","doi":"https://doi.org/10.1109/icite.2019.8880246","title":"Dynamic Modelling and Acceleration Signal Analysis of Rail Surface Defects for Enhanced Rail Condition Monitoring and Diagnosis","display_name":"Dynamic Modelling and Acceleration Signal Analysis of Rail Surface Defects for Enhanced Rail Condition Monitoring and Diagnosis","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2982262381","doi":"https://doi.org/10.1109/icite.2019.8880246","mag":"2982262381"},"language":"en","primary_location":{"id":"doi:10.1109/icite.2019.8880246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Dynamic_modelling_and_acceleration_signal_analysis_of_rail_surface_defects_for_enhanced_rail_condition_monitoring_and_diagnosis/24305095","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005866115","display_name":"Andrew Keong Ng","orcid":"https://orcid.org/0000-0002-3760-7784"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Andrew Keong Ng","raw_affiliation_strings":["Singapore Institute of Technology, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology, Singapore, Singapore","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041612201","display_name":"Landong Martua","orcid":null},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Landong Martua","raw_affiliation_strings":["Singapore Institute of Technology, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology, Singapore, Singapore","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110595464","display_name":"George Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I864816262","display_name":"Land Transport Authority","ror":"https://ror.org/01t8drk63","country_code":"SG","type":"government","lineage":["https://openalex.org/I864816262"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"George Sun","raw_affiliation_strings":["Land Transport Authority, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Land Transport Authority, Singapore, Singapore","institution_ids":["https://openalex.org/I864816262"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8695,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8430741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7134758830070496},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.7028928399085999},{"id":"https://openalex.org/keywords/spall","display_name":"Spall","score":0.6150026917457581},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5863974690437317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5829726457595825},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.5087361931800842},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5086468458175659},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4397865831851959},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"Continuous wavelet transform","score":0.42607951164245605},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4195132553577423},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.40387725830078125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.359296977519989},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3521900475025177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32995104789733887},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.3290191888809204},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.24486380815505981},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20968058705329895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14014017581939697},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08196514844894409}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7134758830070496},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7028928399085999},{"id":"https://openalex.org/C64355373","wikidata":"https://www.wikidata.org/wiki/Q1024411","display_name":"Spall","level":2,"score":0.6150026917457581},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5863974690437317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5829726457595825},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.5087361931800842},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5086468458175659},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4397865831851959},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.42607951164245605},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4195132553577423},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.40387725830078125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.359296977519989},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3521900475025177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32995104789733887},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.3290191888809204},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.24486380815505981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20968058705329895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14014017581939697},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08196514844894409},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icite.2019.8880246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/24305095","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Dynamic_modelling_and_acceleration_signal_analysis_of_rail_surface_defects_for_enhanced_rail_condition_monitoring_and_diagnosis/24305095","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/24305095","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Dynamic_modelling_and_acceleration_signal_analysis_of_rail_surface_defects_for_enhanced_rail_condition_monitoring_and_diagnosis/24305095","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1967014860","https://openalex.org/W1983949551","https://openalex.org/W2007221293","https://openalex.org/W2044653390","https://openalex.org/W2227176820","https://openalex.org/W2528528836","https://openalex.org/W2808903097","https://openalex.org/W2888998263","https://openalex.org/W2911493299","https://openalex.org/W2912370333","https://openalex.org/W6889077030"],"related_works":["https://openalex.org/W2373349805","https://openalex.org/W2387231345","https://openalex.org/W2611150080","https://openalex.org/W2375973715","https://openalex.org/W2129884646","https://openalex.org/W2094847008","https://openalex.org/W2077021924","https://openalex.org/W3011345265","https://openalex.org/W1518678555","https://openalex.org/W1969393996"],"abstract_inverted_index":{"Early":[0],"detection":[1],"of":[2,20,88,131,142,153],"rail":[3,11,21,36,154],"surface":[4],"defects":[5],"(RSDs)":[6],"is":[7,31],"crucial":[8],"for":[9,93],"timely":[10],"maintenance,":[12],"repair,":[13],"or":[14],"replacement":[15],"to":[16,34,43],"prevent":[17],"potential":[18],"risk":[19],"breaks":[22],"and":[23,37,46,54,62,66,72,78,96,106,123,134,138,151,157],"train":[24],"derailments.":[25],"Axle":[26],"box":[27],"acceleration":[28],"(ABA)":[29],"measurement":[30],"commonly":[32],"used":[33],"identify":[35],"track":[38],"irregularities.":[39],"This":[40],"paper":[41],"aims":[42],"(1)":[44],"model":[45],"simulate":[47],"three":[48,57],"common":[49],"RSDs":[50,77,143],"(rail":[51],"corrugation,":[52],"spalling,":[53],"squat)":[55],"with":[56,95],"severity":[58,140],"levels":[59,141],"(light,":[60],"moderate,":[61],"severe);":[63],"(2)":[64],"process":[65],"analyse":[67],"simulated":[68],"RSD-driven":[69,100],"ABA":[70,81,101,145],"signals;":[71],"(3)":[73],"ascertain":[74],"relationships":[75],"between":[76],"their":[79],"corresponding":[80],"signals.":[82],"Explicit":[83],"dynamic":[84],"finite":[85],"element":[86],"models":[87],"wheel-rail":[89],"interaction":[90],"were":[91,103],"created":[92],"rails":[94],"without":[97],"RSDs.":[98],"Simulated":[99],"signals":[102],"subsequently":[104],"processed":[105],"analysed":[107],"using":[108],"various":[109],"signal":[110],"processing":[111],"algorithms":[112],"including":[113],"short-time":[114],"Fourier":[115],"transform,":[116,119],"continuous":[117],"wavelet":[118],"empirical":[120],"mode":[121],"decomposition,":[122],"power":[124],"spectral":[125],"density.":[126],"Results":[127],"reveal":[128],"the":[129,149],"likelihood":[130],"automatically":[132],"detecting":[133],"classifying":[135],"different":[136,139],"types":[137],"from":[144],"signals,":[146],"thereby":[147],"enhancing":[148],"efficiency":[150],"effectiveness":[152],"condition":[155],"monitoring":[156],"diagnosis.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
