{"id":"https://openalex.org/W4408017638","doi":"https://doi.org/10.1109/tim.2025.3546375","title":"MCFPred: A Novel Multichannel Signal Adaptive Fusion Framework for Fault Diagnosis in Hydraulic Systems","display_name":"MCFPred: A Novel Multichannel Signal Adaptive Fusion Framework for Fault Diagnosis in Hydraulic Systems","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408017638","doi":"https://doi.org/10.1109/tim.2025.3546375"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3546375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3546375","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5113313167","display_name":"Ruosong Jiang","orcid":"https://orcid.org/0000-0002-3714-4783"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruosong Jiang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3714-4783","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050301709","display_name":"Zhaohui Yuan","orcid":"https://orcid.org/0000-0002-2040-7815"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Yuan","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2040-7815","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069610729","display_name":"Honghui Wang","orcid":"https://orcid.org/0000-0001-7930-0185"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Wang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-7930-0185","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714071","display_name":"Zeming Fan","orcid":"https://orcid.org/0000-0002-3422-9773"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeming Fan","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3422-9773","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yufan Zhang","orcid":"https://orcid.org/0009-0000-4650-7702"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufan Zhang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0000-4650-7702","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049938274","display_name":"Na Liang","orcid":"https://orcid.org/0000-0001-9750-1001"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Liang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-9750-1001","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030669040","display_name":"Xiaojun Yu","orcid":"https://orcid.org/0000-0001-7361-0780"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Yu","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-7361-0780","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5113313167"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":4.9021,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.9461317,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9947999715805054,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9652000069618225,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9585999846458435,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5465121865272522},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5229747295379639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5068374276161194},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5018794536590576},{"id":"https://openalex.org/keywords/hydraulic-machinery","display_name":"Hydraulic machinery","score":0.479924738407135},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.45379674434661865},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.44552671909332275},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34233683347702026},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3069685399532318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2289971113204956},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12394237518310547},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11597606539726257},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.08395034074783325}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5465121865272522},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5229747295379639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5068374276161194},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5018794536590576},{"id":"https://openalex.org/C11394606","wikidata":"https://www.wikidata.org/wiki/Q1972552","display_name":"Hydraulic machinery","level":2,"score":0.479924738407135},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.45379674434661865},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44552671909332275},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34233683347702026},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3069685399532318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2289971113204956},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12394237518310547},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11597606539726257},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08395034074783325},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3546375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3546375","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2607059282","display_name":null,"funder_award_id":"51505381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3103240440","display_name":null,"funder_award_id":"51275423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8305189564","display_name":null,"funder_award_id":"PF2023015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1582873796","https://openalex.org/W1970374786","https://openalex.org/W1983874169","https://openalex.org/W2058399510","https://openalex.org/W2097715699","https://openalex.org/W2194775991","https://openalex.org/W2530133016","https://openalex.org/W2734669076","https://openalex.org/W2744790985","https://openalex.org/W2916091221","https://openalex.org/W2991632793","https://openalex.org/W3015362700","https://openalex.org/W3033236487","https://openalex.org/W3090238656","https://openalex.org/W3112796309","https://openalex.org/W3142420316","https://openalex.org/W3167312240","https://openalex.org/W3176041833","https://openalex.org/W3192807145","https://openalex.org/W3197058104","https://openalex.org/W4206819248","https://openalex.org/W4221016835","https://openalex.org/W4284882312","https://openalex.org/W4285205488","https://openalex.org/W4286564978","https://openalex.org/W4289752563","https://openalex.org/W4312919750","https://openalex.org/W4321350287","https://openalex.org/W4361215294","https://openalex.org/W4386006327","https://openalex.org/W4387917726","https://openalex.org/W4389665402","https://openalex.org/W4392796942","https://openalex.org/W4392940427","https://openalex.org/W4394840559","https://openalex.org/W4396523516","https://openalex.org/W4401163829"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2365725759","https://openalex.org/W2152662039","https://openalex.org/W2390511951","https://openalex.org/W2004983417","https://openalex.org/W2352631335","https://openalex.org/W2348895893","https://openalex.org/W2353995638"],"abstract_inverted_index":{"Fault":[0],"diagnosis":[1,40,176],"plays":[2],"a":[3,18,29,47,70,90],"critical":[4],"role":[5],"in":[6,41,169],"industrial":[7],"equipment":[8,54],"health":[9],"monitoring,":[10],"while":[11,124],"effective":[12],"multichannel":[13,31,58,79,115],"sensor":[14],"data":[15,48,82,118],"processing":[16],"is":[17,99],"key":[19],"to":[20,51,76,83,136,154],"efficient":[21],"and":[22,61,101,106,131,141,185],"accurate":[23],"fault":[24,39,138,175,195],"diagnosis.":[25],"This":[26],"article":[27],"proposes":[28],"novel":[30],"signal":[32],"adaptive":[33,65,113],"fusion":[34,73,119],"framework,":[35],"namely":[36],"MCFPred,":[37,109],"for":[38,69,103],"hydraulic":[42,149],"systems.":[43],"Specifically,":[44],"MCFPred":[45,164,188],"adopts":[46],"acquisition":[49],"module":[50,75],"capture":[52],"multidimensional":[53],"operational":[55],"signals":[56],"via":[57],"sensors":[59],"first,":[60],"then":[62],"employs":[63],"an":[64,173],"weighted":[66,114],"nonsymmetric":[67],"projection":[68],"time":[71,80,116],"series":[72,81,117],"(AWNPTF)":[74],"adaptively":[77],"fuse":[78],"generate":[84],"high-quality":[85],"2-D":[86],"feature":[87,104,139],"maps.":[88],"Finally,":[89],"deep":[91],"residual":[92,96],"network":[93,97],"(ResNet)":[94],"[attention-integrated":[95],"(AIRNet)]":[98],"devised":[100],"utilized":[102],"extraction":[105,140],"classification.":[107],"In":[108],"AWNPTF":[110],"helps":[111],"realize":[112],"with":[120,146,172,192],"improved":[121],"computational":[122],"efficiency,":[123],"AIRNet":[125],"incorporates":[126],"channel":[127],"attention":[128,133],"mechanism":[129,134],"(CAM)":[130],"spatial":[132],"(SAM)":[135],"improve":[137],"diagnostic":[142],"accuracy.":[143],"Extensive":[144],"experiments":[145],"publicly":[147],"available":[148],"system":[150],"datasets":[151],"are":[152,189],"conducted":[153],"verify":[155],"the":[156],"effectiveness":[157],"of":[158,178,187],"MCFPred.":[159],"Results":[160],"convincingly":[161],"demonstrate":[162],"that":[163],"outperforms":[165],"those":[166],"existing":[167],"methods":[168],"different":[170],"cases":[171],"average":[174],"accuracy":[177],"over":[179],"99%":[180],"been":[181],"achieved.":[182],"Both":[183],"stability":[184],"generalization":[186],"further":[190],"validated":[191],"another":[193],"bearing":[194],"dataset.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}
