{"id":"https://openalex.org/W2971040828","doi":"https://doi.org/10.1109/icphm.2019.8819425","title":"Wheel Polygonalization Identification Method Based on Fluctuation of Temperature Data and Wheel Set Dynamic Monitoring Data","display_name":"Wheel Polygonalization Identification Method Based on Fluctuation of Temperature Data and Wheel Set Dynamic Monitoring Data","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2971040828","doi":"https://doi.org/10.1109/icphm.2019.8819425","mag":"2971040828"},"language":"en","primary_location":{"id":"doi:10.1109/icphm.2019.8819425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2019.8819425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003837657","display_name":"Zejun Zheng","orcid":"https://orcid.org/0000-0002-0369-5667"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zejun Zheng","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074669569","display_name":"Dongli Song","orcid":"https://orcid.org/0000-0002-8553-9480"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongli Song","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113962785","display_name":"Xiaoyue Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyue Qi","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091768432","display_name":"Zilin Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilin Geng","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370298","display_name":"Weihua Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Zhang","raw_affiliation_strings":["State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003837657"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10107357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9876000285148621,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/axle","display_name":"Axle","score":0.8184843063354492},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.729427695274353},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.7127176523208618},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5994148254394531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5798000693321228},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5620142817497253},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45477885007858276},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44894078373908997},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.4480191767215729},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.42408937215805054},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3364272713661194},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3173114061355591},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2844091057777405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.169956237077713},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.14113152027130127}],"concepts":[{"id":"https://openalex.org/C129727815","wikidata":"https://www.wikidata.org/wiki/Q188209","display_name":"Axle","level":2,"score":0.8184843063354492},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.729427695274353},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.7127176523208618},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5994148254394531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5798000693321228},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5620142817497253},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45477885007858276},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44894078373908997},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.4480191767215729},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.42408937215805054},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3364272713661194},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3173114061355591},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2844091057777405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.169956237077713},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.14113152027130127},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icphm.2019.8819425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2019.8819425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2010772880","https://openalex.org/W2016409902","https://openalex.org/W2017039774","https://openalex.org/W2031952891","https://openalex.org/W2070646466","https://openalex.org/W2085366972","https://openalex.org/W2361973448","https://openalex.org/W2377860630","https://openalex.org/W2469230129","https://openalex.org/W2751990366","https://openalex.org/W6743897718"],"related_works":["https://openalex.org/W650759427","https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W2331622280","https://openalex.org/W127377949","https://openalex.org/W4312942650","https://openalex.org/W2545991200","https://openalex.org/W1568097102","https://openalex.org/W4390419160","https://openalex.org/W3159888915"],"abstract_inverted_index":{"With":[0],"the":[1,8,21,24,34,39,46,55,63,77,85],"increase":[2],"of":[3,12,23,26,38,54,65,79,88],"running":[4,31],"time":[5],"and":[6,33,36,45,69],"speed,":[7],"wheel":[9,27,40,56,70],"polygon":[10,28],"phenomenon":[11],"high":[13,80,89],"speed":[14,81,90],"EMU":[15],"is":[16,59],"increasing":[17],"gradually.":[18],"Based":[19],"on":[20,29],"analysis":[22],"influence":[25],"vehicle":[30],"state":[32],"observation":[35],"statistics":[37],"set":[41,71],"dynamic":[42,72],"monitoring":[43,73],"data":[44,68,74],"wireless":[47],"transmit":[48],"device":[49],"system":[50],"data,":[51],"a":[52],"method":[53],"polygonalization":[57],"identification":[58],"proposed":[60],"which":[61],"integrates":[62],"fluctuation":[64],"axle":[66],"temperature":[67],"to":[75],"improve":[76],"safety":[78],"trains,":[82],"so":[83],"that":[84],"health":[86],"status":[87],"trains":[91],"can":[92],"be":[93],"better":[94],"monitored.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}