{"id":"https://openalex.org/W3013370323","doi":"https://doi.org/10.1109/rcar47638.2019.9044105","title":"A non-tachometer method for Order Tracking technique in NVH analysis based on Deep Learning and rpm estimation","display_name":"A non-tachometer method for Order Tracking technique in NVH analysis based on Deep Learning and rpm estimation","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W3013370323","doi":"https://doi.org/10.1109/rcar47638.2019.9044105","mag":"3013370323"},"language":"en","primary_location":{"id":"doi:10.1109/rcar47638.2019.9044105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9044105","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 Real-time Computing and Robotics (RCAR)","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/A5100333738","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-6327-5023"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["College of Information Engineering, Yangzhou University"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Yangzhou University","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100936255","display_name":"Tian Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Shao","raw_affiliation_strings":["College of Information Engineering, Yangzhou University"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Yangzhou University","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050498745","display_name":"Liucun Zhu","orcid":"https://orcid.org/0000-0002-0812-1056"},"institutions":[{"id":"https://openalex.org/I63327873","display_name":"Gulf University","ror":"https://ror.org/01dfpjy51","country_code":"BH","type":"education","lineage":["https://openalex.org/I63327873"]},{"id":"https://openalex.org/I4210128032","display_name":"Beibu Gulf University","ror":"https://ror.org/031j0at32","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128032"]}],"countries":["BH","CN"],"is_corresponding":false,"raw_author_name":"Liucun Zhu","raw_affiliation_strings":["Advanced Science and Technology Research Institute, Beibu Gulf University"],"affiliations":[{"raw_affiliation_string":"Advanced Science and Technology Research Institute, Beibu Gulf University","institution_ids":["https://openalex.org/I63327873","https://openalex.org/I4210128032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100776750","display_name":"Zhen Zhang","orcid":"https://orcid.org/0000-0002-2300-7112"},"institutions":[{"id":"https://openalex.org/I63327873","display_name":"Gulf University","ror":"https://ror.org/01dfpjy51","country_code":"BH","type":"education","lineage":["https://openalex.org/I63327873"]},{"id":"https://openalex.org/I4210128032","display_name":"Beibu Gulf University","ror":"https://ror.org/031j0at32","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128032"]}],"countries":["BH","CN"],"is_corresponding":false,"raw_author_name":"Zhen Zhang","raw_affiliation_strings":["Advanced Science and Technology Research Institute, Beibu Gulf University"],"affiliations":[{"raw_affiliation_string":"Advanced Science and Technology Research Institute, Beibu Gulf University","institution_ids":["https://openalex.org/I63327873","https://openalex.org/I4210128032"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113750519","display_name":"Wenbin Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I63327873","display_name":"Gulf University","ror":"https://ror.org/01dfpjy51","country_code":"BH","type":"education","lineage":["https://openalex.org/I63327873"]},{"id":"https://openalex.org/I4210128032","display_name":"Beibu Gulf University","ror":"https://ror.org/031j0at32","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128032"]}],"countries":["BH","CN"],"is_corresponding":false,"raw_author_name":"Wenbin Xie","raw_affiliation_strings":["Advanced Science and Technology Research Institute, Beibu Gulf University"],"affiliations":[{"raw_affiliation_string":"Advanced Science and Technology Research Institute, Beibu Gulf University","institution_ids":["https://openalex.org/I63327873","https://openalex.org/I4210128032"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100333738"],"corresponding_institution_ids":["https://openalex.org/I78978612"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23942779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"731","last_page":"736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.9947999715805054,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9902999997138977,"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/tachometer","display_name":"Tachometer","score":0.8271001577377319},{"id":"https://openalex.org/keywords/noise-vibration-and-harshness","display_name":"Noise, vibration, and harshness","score":0.689750075340271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158319711685181},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.5358145833015442},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.46337902545928955},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45982033014297485},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43155890703201294},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.4296373724937439},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4281834363937378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4225786328315735},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.4116300046443939},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39324280619621277},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.204024076461792},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1838221549987793},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.1548023819923401},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.09520670771598816},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09297126531600952}],"concepts":[{"id":"https://openalex.org/C27082852","wikidata":"https://www.wikidata.org/wiki/Q206976","display_name":"Tachometer","level":3,"score":0.8271001577377319},{"id":"https://openalex.org/C109400559","wikidata":"https://www.wikidata.org/wiki/Q1478080","display_name":"Noise, vibration, and harshness","level":3,"score":0.689750075340271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158319711685181},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5358145833015442},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.46337902545928955},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45982033014297485},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43155890703201294},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.4296373724937439},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4281834363937378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4225786328315735},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.4116300046443939},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39324280619621277},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.204024076461792},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1838221549987793},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.1548023819923401},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.09520670771598816},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09297126531600952},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rcar47638.2019.9044105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9044105","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 Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"},{"id":"mag:3040819083","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002273120216689","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W598429723","https://openalex.org/W1494180124","https://openalex.org/W1569512666","https://openalex.org/W2107626404","https://openalex.org/W2146272103","https://openalex.org/W2311607323","https://openalex.org/W2506722877","https://openalex.org/W2559110679","https://openalex.org/W2765642411","https://openalex.org/W2883098359","https://openalex.org/W3080700130","https://openalex.org/W4244748642","https://openalex.org/W6698064614","https://openalex.org/W6730424109"],"related_works":["https://openalex.org/W2040556008","https://openalex.org/W2019994264","https://openalex.org/W3185191300","https://openalex.org/W1560895763","https://openalex.org/W2385134341","https://openalex.org/W1652270319","https://openalex.org/W2547287778","https://openalex.org/W2126717331","https://openalex.org/W4313343711","https://openalex.org/W2152123380"],"abstract_inverted_index":{"This":[0,49],"paper":[1],"presents":[2],"a":[3,13,112,133,149],"new":[4],"analysis":[5,10],"method":[6,50],"of":[7,55,79,88,94,107,111,117,148,158],"automobile":[8],"noise-vibration-harshness(NVH)":[9],"based":[11],"on":[12],"discrete":[14,134],"recurrent":[15],"neural":[16],"network(RNN)":[17],"and":[18,58,69,105,119,130,143,155,167],"generative":[19],"adversarial":[20],"network(GAN),":[21],"which,":[22],"can":[23],"not":[24],"only":[25],"replace":[26],"Short":[27],"Fast":[28],"Fourier":[29,61],"Transform(SFFT)":[30],"but":[31],"also":[32],"the":[33,52,85,92,108,139],"entire":[34],"tachometer":[35],"data":[36,166],"assembly":[37],"system":[38,137,159],"for":[39],"our":[40],"network's":[41],"ability":[42],"to":[43,71,164],"obtain":[44,72],"rpm":[45,67],"from":[46],"vibration":[47,109,141],"signal.":[48],"inherits":[51],"leading":[53],"spirit":[54],"digital":[56],"resampling":[57,128],"Time-Variant":[59],"Discrete":[60],"Transform(TVDFT),":[62],"adjusting":[63],"sampling":[64,106,121],"rate":[65],"concerning":[66],"changes":[68],"interpolation":[70],"an":[73],"equal":[74],"time":[75,129],"interval":[76,82],"sequence":[77],"out":[78],"identical":[80],"angle":[81],"sequence,":[83],"as":[84,125,127],"setting":[86],"parameter":[87],"these":[89],"methods":[90],"determines":[91],"quality":[93],"order":[95],"tracking.":[96],"The":[97,162],"neural-network-based":[98],"approach":[99],"involves":[100],"three":[101],"steps:":[102],"1.":[103],"Simulation":[104],"signal":[110,142],"DeLaval":[113],"rotor.":[114],"2.":[115],"Determination":[116],"rpm,":[118],"instantaneous":[120],"rate,":[122],"window":[123],"size":[124],"well":[126],"values":[131],"through":[132],"RNN-GAN":[135],"learning":[136],"with":[138],"input":[140],"output":[144],"parameters.":[145],"3.":[146],"Illustration":[147],"dB-rpm":[150],"graph":[151],"obtained":[152],"by":[153],"D-RNN-GAN":[154],"further":[156],"evaluation":[157],"performance":[160],"4.":[161],"application":[163],"big":[165],"its":[168],"review.":[169]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}