{"id":"https://openalex.org/W4390670205","doi":"https://doi.org/10.3390/s24020353","title":"Real-Time Fault Diagnosis for Hydraulic System Based on Multi-Sensor Convolutional Neural Network","display_name":"Real-Time Fault Diagnosis for Hydraulic System Based on Multi-Sensor Convolutional Neural Network","publication_year":2024,"publication_date":"2024-01-07","ids":{"openalex":"https://openalex.org/W4390670205","doi":"https://doi.org/10.3390/s24020353","pmid":"https://pubmed.ncbi.nlm.nih.gov/38257445"},"language":"en","primary_location":{"id":"doi:10.3390/s24020353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24020353","pdf_url":"https://www.mdpi.com/1424-8220/24/2/353/pdf?version=1704692858","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/1424-8220/24/2/353/pdf?version=1704692858","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052450451","display_name":"Haohan Tao","orcid":"https://orcid.org/0000-0001-6322-953X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haohan Tao","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150000, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008498396","display_name":"Peng Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Jia","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150000, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369984","display_name":"Xiangyu Wang","orcid":"https://orcid.org/0000-0002-6372-7894"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Wang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150000, China","Yantai Research Institute of Harbin Engineering University, Yantai 264000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150000, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"Yantai Research Institute of Harbin Engineering University, Yantai 264000, China","institution_ids":["https://openalex.org/I18452120","https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101910810","display_name":"Liquan Wang","orcid":"https://orcid.org/0000-0002-6470-4889"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liquan Wang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150000, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008498396"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":11.3461,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9902223,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"2","first_page":"353","last_page":"353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9941999912261963,"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":0.9941999912261963,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9923999905586243,"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":0.9800000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7820650339126587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451098918914795},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6233137249946594},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6090155839920044},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5572175979614258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5440911054611206},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5007011890411377},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4898202121257782},{"id":"https://openalex.org/keywords/hydraulic-machinery","display_name":"Hydraulic machinery","score":0.4253091812133789},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.41058388352394104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40924063324928284},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3809010684490204},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2915179133415222},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15807634592056274}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7820650339126587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451098918914795},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6233137249946594},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6090155839920044},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5572175979614258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5440911054611206},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5007011890411377},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4898202121257782},{"id":"https://openalex.org/C11394606","wikidata":"https://www.wikidata.org/wiki/Q1972552","display_name":"Hydraulic machinery","level":2,"score":0.4253091812133789},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.41058388352394104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40924063324928284},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3809010684490204},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2915179133415222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15807634592056274},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s24020353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24020353","pdf_url":"https://www.mdpi.com/1424-8220/24/2/353/pdf?version=1704692858","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:38257445","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38257445","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:10819953","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10819953","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10819953/pdf/sensors-24-00353.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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:c234171889f94b52b384e7bf199bb731","is_oa":true,"landing_page_url":"https://doaj.org/article/c234171889f94b52b384e7bf199bb731","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 2, p 353 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/24/2/353/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s24020353","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s24020353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24020353","pdf_url":"https://www.mdpi.com/1424-8220/24/2/353/pdf?version=1704692858","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":[],"awards":[{"id":"https://openalex.org/G3505292628","display_name":null,"funder_award_id":"2021CXGC010706","funder_id":"https://openalex.org/F4320322143","funder_display_name":"China National Offshore Oil Corporation"},{"id":"https://openalex.org/G4664807005","display_name":null,"funder_award_id":"CCL2020RCPS0064RNN","funder_id":"https://openalex.org/F4320322143","funder_display_name":"China National Offshore Oil Corporation"},{"id":"https://openalex.org/G4784888607","display_name":null,"funder_award_id":"2023JCYJ056","funder_id":"https://openalex.org/F4320322143","funder_display_name":"China National Offshore Oil Corporation"},{"id":"https://openalex.org/G5000374798","display_name":null,"funder_award_id":"KY10700230035","funder_id":"https://openalex.org/F4320322143","funder_display_name":"China National Offshore Oil Corporation"},{"id":"https://openalex.org/G7748700553","display_name":null,"funder_award_id":"CCL2022RCPS0622RQN","funder_id":"https://openalex.org/F4320322143","funder_display_name":"China National Offshore Oil Corporation"}],"funders":[{"id":"https://openalex.org/F4320322143","display_name":"China National Offshore Oil Corporation","ror":"https://ror.org/054dq0621"},{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390670205.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1582873796","https://openalex.org/W1889820893","https://openalex.org/W2011032464","https://openalex.org/W2044278669","https://openalex.org/W2046365851","https://openalex.org/W2074150777","https://openalex.org/W2076063813","https://openalex.org/W2081102568","https://openalex.org/W2156074014","https://openalex.org/W2166660691","https://openalex.org/W2184192902","https://openalex.org/W2461729787","https://openalex.org/W2471870588","https://openalex.org/W2480364715","https://openalex.org/W2590288147","https://openalex.org/W2736470268","https://openalex.org/W2758008908","https://openalex.org/W2768753204","https://openalex.org/W2801396593","https://openalex.org/W2808496542","https://openalex.org/W2887315962","https://openalex.org/W2888337213","https://openalex.org/W2898760173","https://openalex.org/W2916091221","https://openalex.org/W2919115771","https://openalex.org/W2967625104","https://openalex.org/W2971499216","https://openalex.org/W2999414679","https://openalex.org/W3046728191","https://openalex.org/W3080571556","https://openalex.org/W3163104121","https://openalex.org/W3167312240","https://openalex.org/W3174727474","https://openalex.org/W3207834514","https://openalex.org/W4285101290","https://openalex.org/W4285144019","https://openalex.org/W4293180438","https://openalex.org/W4318815974","https://openalex.org/W4321350287","https://openalex.org/W4321604119","https://openalex.org/W4323358453","https://openalex.org/W4385988323","https://openalex.org/W6634974644"],"related_works":["https://openalex.org/W86946229","https://openalex.org/W3009843762","https://openalex.org/W2054360660","https://openalex.org/W1998491546","https://openalex.org/W2913439950","https://openalex.org/W3097589262","https://openalex.org/W2380784125","https://openalex.org/W2127402788","https://openalex.org/W3004057759","https://openalex.org/W2889085215"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposed":[2,23,73,149,168],"a":[3,22,59],"real-time":[4,130],"fault":[5,36,48,133],"diagnostic":[6,102,192],"method":[7,18,169],"for":[8,88,129],"hydraulic":[9,131],"systems":[10],"using":[11],"data":[12],"collected":[13],"from":[14],"multiple":[15],"sensors.":[16],"The":[17,148,167],"is":[19,152],"based":[20,52],"on":[21,53,155],"multi-sensor":[24,138,191],"convolutional":[25],"neural":[26],"network":[27],"(MS-CNN)":[28],"that":[29],"incorporates":[30],"feature":[31,139],"extraction,":[32],"sensor":[33,44,78,92],"selection,":[34],"and":[35,47,99,119,141,163,179,188],"diagnosis":[37,49,177],"into":[38],"an":[39,156,164],"end-to-end":[40],"model.":[41,63,106],"Both":[42],"the":[43,67,72,77,91,96,101,105,108,114,126,137,142],"selection":[45,70,93],"process":[46,50],"are":[51,145],"abstract":[54],"fault-related":[55,82],"features":[56],"learned":[57],"by":[58],"CNN":[60,186],"deep":[61],"learning":[62],"Therefore,":[64],"compared":[65,183],"with":[66,184],"traditional":[68,185],"sensor-and-feature":[69],"method,":[71],"MS-CNN":[74,127,150],"can":[75,94],"find":[76],"channels":[79],"containing":[80],"higher-level":[81],"features,":[83],"which":[84,136],"provides":[85],"two":[86,123],"advantages":[87,124],"diagnosis.":[89],"First,":[90],"reduce":[95],"redundant":[97],"information":[98],"improve":[100],"performance":[103],"of":[104,111,175],"Secondly,":[107],"reduced":[109],"number":[110],"sensors":[112],"simplifies":[113],"model,":[115],"reducing":[116],"communication":[117],"burden":[118],"computational":[120,180],"complexity.":[121],"These":[122],"make":[125],"suitable":[128],"system":[132,160],"diagnosis,":[134],"in":[135,173],"extraction":[140],"computation":[143],"speed":[144,181],"both":[146,176],"significant.":[147],"approach":[151],"evaluated":[153],"experimentally":[154],"electric-hydraulic":[157],"subsea":[158],"control":[159],"test":[161],"rig":[162],"open-source":[165],"dataset.":[166],"shows":[170],"obvious":[171],"superiority":[172],"terms":[174],"accuracy":[178],"when":[182],"models":[187],"other":[189],"state-of-the-art":[190],"methods.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":13}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-10T00:00:00"}