{"id":"https://openalex.org/W2734466272","doi":"https://doi.org/10.1109/i2mtc.2017.7969693","title":"An improved method of rail health monitoring based on CNN and multiple acoustic emission events","display_name":"An improved method of rail health monitoring based on CNN and multiple acoustic emission events","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2734466272","doi":"https://doi.org/10.1109/i2mtc.2017.7969693","mag":"2734466272"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2017.7969693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2017.7969693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5068665155","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0002-0773-8871"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000407074","display_name":"Kangwei Wang","orcid":"https://orcid.org/0000-0002-7634-3945"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangwei Wang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322712","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-5344-1884"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009129294","display_name":"Yi Shen","orcid":"https://orcid.org/0000-0002-3198-1927"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Shen","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002313865","display_name":"Hengshan Hu","orcid":"https://orcid.org/0000-0002-4302-1413"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshan Hu","raw_affiliation_strings":["Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068665155"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.8114,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.72153707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9975000023841858,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9975000023841858,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/acoustic-emission","display_name":"Acoustic emission","score":0.8383873701095581},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8274074792861938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6919764280319214},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5212351083755493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4796041250228882},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4468713700771332},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3448833227157593},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.14758360385894775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13372570276260376}],"concepts":[{"id":"https://openalex.org/C174598085","wikidata":"https://www.wikidata.org/wiki/Q746673","display_name":"Acoustic emission","level":2,"score":0.8383873701095581},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8274074792861938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6919764280319214},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5212351083755493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4796041250228882},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4468713700771332},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3448833227157593},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.14758360385894775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13372570276260376},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2017.7969693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2017.7969693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W242877468","https://openalex.org/W852807260","https://openalex.org/W1139309024","https://openalex.org/W1481281895","https://openalex.org/W1965744128","https://openalex.org/W1970383425","https://openalex.org/W1972249305","https://openalex.org/W1973428265","https://openalex.org/W2046420741","https://openalex.org/W2050774995","https://openalex.org/W2076063813","https://openalex.org/W2293983223","https://openalex.org/W2301384101","https://openalex.org/W2521727659","https://openalex.org/W6623515677"],"related_works":["https://openalex.org/W2393097294","https://openalex.org/W2889442519","https://openalex.org/W2381188978","https://openalex.org/W2364223432","https://openalex.org/W2988080746","https://openalex.org/W2377260462","https://openalex.org/W2158646189","https://openalex.org/W2472814183","https://openalex.org/W2946311026","https://openalex.org/W2382857567"],"abstract_inverted_index":{"Rail":[0],"health":[1,34,150],"monitoring":[2,35],"plays":[3],"an":[4,29],"important":[5],"role":[6],"in":[7],"the":[8,16,23,75,78,91,95,110,130,139,145],"railway":[9,24],"system,":[10],"and":[11,42,59,77,108,129],"how":[12],"to":[13,73,102],"accurately":[14],"obtain":[15],"rail":[17,33,146,149],"state":[18,147],"is":[19,71,118],"very":[20],"significant":[21],"for":[22,148],"safety.":[25],"This":[26],"paper":[27],"proposes":[28],"improved":[30,111],"method":[31,66,113,141],"of":[32,45,67,80,87,93,98],"based":[36,114],"on":[37,115],"convolutional":[38],"neural":[39],"network":[40],"(CNN)":[41],"probability":[43,96],"analysis":[44],"multiple":[46,116],"acoustic":[47],"emission":[48],"(AE)":[49],"events.":[50],"By":[51],"tensile":[52],"testing":[53],"machine,":[54],"AE":[55],"signals":[56],"with":[57,85],"safe":[58],"unsafe":[60],"states":[61],"are":[62,82,127,133],"obtained.":[63],"The":[64,120,135],"CNN":[65,81],"deep":[68],"learning":[69],"(DL)":[70],"employed":[72],"classify":[74],"defects,":[76],"results":[79,136],"also":[83],"compared":[84],"that":[86,138],"other":[88],"methods.":[89],"From":[90],"output":[92],"CNN,":[94],"values":[97],"each":[99],"sample":[100],"belonging":[101],"a":[103],"class":[104],"can":[105,142],"be":[106],"obtained,":[107],"then":[109],"classification":[112,126,131],"events":[117],"investigated.":[119],"detection":[121],"errors":[122],"caused":[123],"by":[124],"one-time":[125],"eliminated,":[128],"accuracy":[132],"improved.":[134],"illustrate":[137],"proposed":[140],"effectively":[143],"recognize":[144],"monitoring.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}