{"id":"https://openalex.org/W3167315186","doi":"https://doi.org/10.1155/2021/9952450","title":"A Multirate Sensor Information Fusion Strategy for Multitask Fault Diagnosis Based on Convolutional Neural Network","display_name":"A Multirate Sensor Information Fusion Strategy for Multitask Fault Diagnosis Based on Convolutional Neural Network","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3167315186","doi":"https://doi.org/10.1155/2021/9952450","mag":"3167315186"},"language":"en","primary_location":{"id":"doi:10.1155/2021/9952450","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9952450","pdf_url":"https://downloads.hindawi.com/journals/js/2021/9952450.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2021/9952450.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055009104","display_name":"Xiangkai Ma","orcid":"https://orcid.org/0000-0002-0365-9818"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangkai Ma","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China","School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731"],"raw_orcid":"https://orcid.org/0000-0002-0365-9818","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462621","display_name":"Pei Wang","orcid":"https://orcid.org/0000-0002-0048-432X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Wang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731"],"raw_orcid":"https://orcid.org/0000-0002-0048-432X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055606853","display_name":"Bozhou Zhang","orcid":"https://orcid.org/0000-0002-4396-3339"},"institutions":[{"id":"https://openalex.org/I4210139142","display_name":"Development Research Center","ror":"https://ror.org/04m6cjv19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210139142","https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bozhou Zhang","raw_affiliation_strings":["Chengdu Science and Technology Development Research Center, Chengdu 610041, China","Chengdu Science and Technology Development Research Center, Chengdu 610041"],"raw_orcid":"https://orcid.org/0000-0002-4396-3339","affiliations":[{"raw_affiliation_string":"Chengdu Science and Technology Development Research Center, Chengdu 610041, China","institution_ids":["https://openalex.org/I4210139142"]},{"raw_affiliation_string":"Chengdu Science and Technology Development Research Center, Chengdu 610041","institution_ids":["https://openalex.org/I4210139142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100755309","display_name":"Ming Sun","orcid":"https://orcid.org/0000-0002-0762-687X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Sun","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731"],"raw_orcid":"https://orcid.org/0000-0002-0762-687X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100755309"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.6241,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83183701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9955999851226807,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7663501501083374},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.743635892868042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5966722965240479},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5508720874786377},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.5402535796165466},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5325853824615479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48904547095298767},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4765356481075287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3821268081665039},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3583081364631653}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7663501501083374},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.743635892868042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5966722965240479},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5508720874786377},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.5402535796165466},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5325853824615479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48904547095298767},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4765356481075287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3821268081665039},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3583081364631653},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/9952450","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9952450","pdf_url":"https://downloads.hindawi.com/journals/js/2021/9952450.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ccef6eaa0b104d5fbacd472e205d9e5f","is_oa":false,"landing_page_url":"https://doaj.org/article/ccef6eaa0b104d5fbacd472e205d9e5f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/9952450","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9952450","pdf_url":"https://downloads.hindawi.com/journals/js/2021/9952450.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2788304203","display_name":null,"funder_award_id":"61976047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7547402385","display_name":null,"funder_award_id":"2021YFG0331","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322922","display_name":"Department of Science and Technology of Sichuan Province","ror":"https://ror.org/04323m874"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3167315186.pdf","grobid_xml":"https://content.openalex.org/works/W3167315186.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1582873796","https://openalex.org/W1591714781","https://openalex.org/W1819010325","https://openalex.org/W1875842236","https://openalex.org/W2014540231","https://openalex.org/W2076063813","https://openalex.org/W2094625209","https://openalex.org/W2095705004","https://openalex.org/W2126584714","https://openalex.org/W2565639579","https://openalex.org/W2584994008","https://openalex.org/W2595657631","https://openalex.org/W2608854843","https://openalex.org/W2746111230","https://openalex.org/W2765982206","https://openalex.org/W2768753204","https://openalex.org/W2794469369","https://openalex.org/W2794869810","https://openalex.org/W2802480347","https://openalex.org/W2808496542","https://openalex.org/W2844117170","https://openalex.org/W2888337213","https://openalex.org/W2891987440","https://openalex.org/W2905949437","https://openalex.org/W2919115771","https://openalex.org/W2969596529","https://openalex.org/W2985549431","https://openalex.org/W2988452521","https://openalex.org/W3000042097","https://openalex.org/W3019858371","https://openalex.org/W3026117520","https://openalex.org/W3034504400","https://openalex.org/W3038041534","https://openalex.org/W3048624869","https://openalex.org/W3088398172","https://openalex.org/W3145056522","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039","https://openalex.org/W79444681","https://openalex.org/W2383241417","https://openalex.org/W2956133731","https://openalex.org/W2018887750","https://openalex.org/W3088112989"],"abstract_inverted_index":{"In":[0],"complicated":[1],"mechanical":[2,34],"systems,":[3],"fault":[4,78,115,120,130],"diagnosis,":[5],"especially":[6],"regarding":[7],"feature":[8,20,116,161],"extraction":[9,21,117],"from":[10,105],"multiple":[11],"sensors,":[12],"remains":[13],"a":[14,69,112,175],"challenge.":[15],"Most":[16],"existing":[17,157],"methods":[18,40],"for":[19,43,76,119,163],"tend":[22],"to":[23,46,60,128],"assume":[24],"that":[25,48,146],"all":[26,49],"sensors":[27],"have":[28],"uniform":[29],"sampling":[30,103],"rates.":[31],"However,":[32],"complex":[33],"systems":[35],"use":[36,41],"multirate":[37],"sensors.":[38],"These":[39],"upsampling":[42],"data":[44],"preprocessing":[45],"ensure":[47],"signals":[50,108],"at":[51],"the":[52,94,106,133,147,156,172],"same":[53],"scale":[54],"can":[55],"cause":[56],"certain":[57],"time\u2010frequency":[58,123],"features":[59],"vanish.":[61],"To":[62],"address":[63],"these":[64],"issues,":[65],"this":[66],"paper":[67],"proposes":[68],"Multirate":[70],"Sensor":[71],"Information":[72],"Fusion":[73],"Strategy":[74],"(MRSIFS)":[75],"multitask":[77,149],"diagnosis.":[79,121],"The":[80,140],"proposed":[81,148],"method":[82],"is":[83,126],"based":[84],"on":[85],"multidimensional":[86],"convolution":[87],"blocks":[88],"incorporating":[89],"multisource":[90],"information":[91,131],"fusion":[92],"into":[93],"convolutional":[95],"neural":[96],"network":[97],"(CNN)":[98],"architecture.":[99],"Features":[100],"with":[101],"different":[102],"rates":[104],"raw":[107],"are":[109],"run":[110],"through":[111],"multichannel":[113],"parallel":[114],"framework":[118],"Additionally,":[122],"analysis":[124],"technology":[125],"used":[127],"reveal":[129],"in":[132,168],"association":[134],"between":[135],"time":[136],"and":[137],"frequency":[138],"domains.":[139],"simulation":[141],"platform\u2019s":[142],"experimental":[143],"results":[144],"show":[145],"model":[150],"achieves":[151],"higher":[152],"diagnosis":[153],"accuracy":[154],"than":[155],"methods.":[158],"Furthermore,":[159],"manual":[160],"selection":[162],"each":[164],"task":[165],"becomes":[166],"unnecessary":[167],"MRSIFS,":[169],"which":[170],"has":[171],"potential":[173],"toward":[174],"general\u2010purpose":[176],"framework.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}