{"id":"https://openalex.org/W4399974645","doi":"https://doi.org/10.3390/s24134070","title":"Intelligent Fault Diagnosis Method Based on Cross-Device Secondary Transfer Learning of Efficient Gated Recurrent Unit Network","display_name":"Intelligent Fault Diagnosis Method Based on Cross-Device Secondary Transfer Learning of Efficient Gated Recurrent Unit Network","publication_year":2024,"publication_date":"2024-06-22","ids":{"openalex":"https://openalex.org/W4399974645","doi":"https://doi.org/10.3390/s24134070","pmid":"https://pubmed.ncbi.nlm.nih.gov/39000849"},"language":"en","primary_location":{"id":"doi:10.3390/s24134070","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24134070","pdf_url":"https://www.mdpi.com/1424-8220/24/13/4070/pdf?version=1719049089","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/13/4070/pdf?version=1719049089","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111237440","display_name":"Chaoquan Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoquan Mo","raw_affiliation_strings":["College of Mechanical & Electrical Engineering, Wenzhou University, Wenzhou 325035, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical & Electrical Engineering, Wenzhou University, Wenzhou 325035, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103024346","display_name":"Ke Huang","orcid":"https://orcid.org/0000-0002-1206-5317"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Huang","raw_affiliation_strings":["College of Mechanical & Electrical Engineering, Wenzhou University, Wenzhou 325035, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical & Electrical Engineering, Wenzhou University, Wenzhou 325035, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103024346"],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.6877,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68541384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"24","issue":"13","first_page":"4070","last_page":"4070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9952999949455261,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9952999949455261,"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/T10876","display_name":"Fault Detection and Control Systems","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"}},{"id":"https://openalex.org/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9678000211715698,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.716702938079834},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6873140335083008},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.667630136013031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6435343027114868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5757354497909546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45354902744293213},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4426555633544922},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4135285019874573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3990964889526367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39055687189102173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08991196751594543}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.716702938079834},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6873140335083008},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.667630136013031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6435343027114868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5757354497909546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45354902744293213},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4426555633544922},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4135285019874573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3990964889526367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39055687189102173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08991196751594543},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24134070","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24134070","pdf_url":"https://www.mdpi.com/1424-8220/24/13/4070/pdf?version=1719049089","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39000849","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39000849","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11244498","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11244498","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11244498/pdf/sensors-24-04070.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:6bd6d58e6c304ad98b474fa6df38a49c","is_oa":true,"landing_page_url":"https://doaj.org/article/6bd6d58e6c304ad98b474fa6df38a49c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 13, p 4070 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24134070","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24134070","pdf_url":"https://www.mdpi.com/1424-8220/24/13/4070/pdf?version=1719049089","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399974645.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W2060304859","https://openalex.org/W2102211123","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2315577134","https://openalex.org/W2795550564","https://openalex.org/W2898760173","https://openalex.org/W2903917280","https://openalex.org/W2912412749","https://openalex.org/W2946048316","https://openalex.org/W3000277878","https://openalex.org/W3083358932","https://openalex.org/W3089183752","https://openalex.org/W3109541357","https://openalex.org/W3113310630","https://openalex.org/W3126794061","https://openalex.org/W3135644512","https://openalex.org/W3135773669","https://openalex.org/W3158191900","https://openalex.org/W3209651137","https://openalex.org/W4205762944","https://openalex.org/W4213075002","https://openalex.org/W4254765838","https://openalex.org/W4296219852","https://openalex.org/W4296817697","https://openalex.org/W4304689967","https://openalex.org/W4321016476","https://openalex.org/W4375844114","https://openalex.org/W4384819582","https://openalex.org/W4387861048","https://openalex.org/W4390044439","https://openalex.org/W4392417246","https://openalex.org/W4392480397","https://openalex.org/W6713955831","https://openalex.org/W6762585180","https://openalex.org/W6793164127","https://openalex.org/W6850235860"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W4297821278"],"abstract_inverted_index":{"In":[0],"response":[1],"to":[2,19,48,73,78,100,114,140],"the":[3,74,97,118,142],"issues":[4],"of":[5],"low":[6],"model":[7,57,119],"recognition":[8],"accuracy":[9,109],"and":[10,61,81,110,131,134,148],"weak":[11],"generalization":[12,111],"in":[13,121,152],"mechanical":[14],"equipment":[15],"fault":[16,102],"diagnosis":[17],"due":[18],"scarce":[20,146],"data,":[21],"this":[22,91,122],"paper":[23],"proposes":[24],"an":[25,137],"innovative":[26],"solution,":[27],"a":[28],"cross-device":[29],"secondary":[30,83],"transfer-learning":[31],"method":[32,42,92],"based":[33],"on":[34],"EGRUN":[35,56],"(efficient":[36],"gated":[37],"recurrent":[38],"unit":[39],"network).":[40],"This":[41],"utilizes":[43],"continuous":[44],"wavelet":[45],"transform":[46,49],"(CWT)":[47],"source":[50],"domain":[51,76],"data":[52,77,80,147],"into":[53],"images.":[54],"The":[55,86],"is":[58,71],"initially":[59],"trained,":[60],"shallow":[62],"layer":[63],"weights":[64],"are":[65],"frozen.":[66],"Subsequently,":[67],"random":[68],"overlapping":[69],"sampling":[70],"applied":[72],"target":[75],"enhance":[79],"perform":[82],"transfer":[84],"learning.":[85],"experimental":[87],"results":[88],"demonstrate":[89],"that":[90],"not":[93],"only":[94],"significantly":[95],"improves":[96],"model's":[98],"ability":[99],"learn":[101],"features":[103],"but":[104],"also":[105],"enhances":[106],"its":[107],"classification":[108],"performance.":[112],"Compared":[113],"current":[115],"state-of-the-art":[116],"algorithms,":[117],"proposed":[120],"study":[123],"shows":[124],"faster":[125],"convergence":[126],"speed,":[127],"higher":[128],"diagnostic":[129],"accuracy,":[130],"superior":[132],"robustness":[133],"generalization,":[135],"providing":[136],"effective":[138],"approach":[139],"address":[141],"challenges":[143],"arising":[144],"from":[145],"varying":[149],"operating":[150],"conditions":[151],"practical":[153],"engineering":[154],"scenarios.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
