{"id":"https://openalex.org/W4313127226","doi":"https://doi.org/10.1109/tim.2022.3227609","title":"Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment","display_name":"Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment","publication_year":2022,"publication_date":"2022-12-08","ids":{"openalex":"https://openalex.org/W4313127226","doi":"https://doi.org/10.1109/tim.2022.3227609"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3227609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3227609","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/A5007995577","display_name":"Liqiao Xia","orcid":"https://orcid.org/0000-0001-8878-7490"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Liqiao Xia","raw_affiliation_strings":["Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-8878-7490","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067108497","display_name":"Yongshi Liang","orcid":"https://orcid.org/0000-0003-0241-0495"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yongshi Liang","raw_affiliation_strings":["Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-0241-0495","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079101040","display_name":"Pai Zheng","orcid":"https://orcid.org/0000-0002-2329-8634"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pai Zheng","raw_affiliation_strings":["Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-2329-8634","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055037545","display_name":"Xiao Huang","orcid":"https://orcid.org/0000-0002-3867-900X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiao Huang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-3867-900X","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":4.2476,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.94710434,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9729999899864197,"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":0.9729999899864197,"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":0.9534000158309937,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9505000114440918,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/hypergraph","display_name":"Hypergraph","score":0.750697135925293},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6710399389266968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5989230871200562},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5676206350326538},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5419543385505676},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5001327991485596},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.462595134973526},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4509515166282654},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.43692541122436523},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4328802824020386},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3683684468269348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29122745990753174},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2659858465194702},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21840748190879822},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21568018198013306},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13910752534866333}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.750697135925293},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6710399389266968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5989230871200562},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5676206350326538},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5419543385505676},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5001327991485596},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.462595134973526},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4509515166282654},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.43692541122436523},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4328802824020386},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3683684468269348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29122745990753174},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2659858465194702},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21840748190879822},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21568018198013306},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13910752534866333},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3227609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3227609","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G2126566820","display_name":null,"funder_award_id":"SQ2020YFE020182","funder_id":"https://openalex.org/F4320309618","funder_display_name":"Ministry of Science and Technology"},{"id":"https://openalex.org/G8566565068","display_name":null,"funder_award_id":"1-BBR2","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"},{"id":"https://openalex.org/F4320321920","display_name":"Innovation and Technology Commission","ror":"https://ror.org/04vf9tr09"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1597576211","https://openalex.org/W1889820893","https://openalex.org/W1970784519","https://openalex.org/W2100028154","https://openalex.org/W2194775991","https://openalex.org/W2732083872","https://openalex.org/W2794852478","https://openalex.org/W2856514980","https://openalex.org/W2890482622","https://openalex.org/W2892880750","https://openalex.org/W2954125690","https://openalex.org/W2970796583","https://openalex.org/W2974537164","https://openalex.org/W2995140071","https://openalex.org/W3005486352","https://openalex.org/W3016258185","https://openalex.org/W3034195175","https://openalex.org/W3045935064","https://openalex.org/W3089819258","https://openalex.org/W3095770430","https://openalex.org/W3110385569","https://openalex.org/W3110510730","https://openalex.org/W3121022549","https://openalex.org/W3122934853","https://openalex.org/W3125151027","https://openalex.org/W3125198223","https://openalex.org/W3131362139","https://openalex.org/W3135695944","https://openalex.org/W3157123770","https://openalex.org/W3157688629","https://openalex.org/W3165159705","https://openalex.org/W3168417671","https://openalex.org/W3192819818","https://openalex.org/W3197457608","https://openalex.org/W3211688646","https://openalex.org/W4205165532","https://openalex.org/W4210544759","https://openalex.org/W4293258577","https://openalex.org/W4295872969","https://openalex.org/W6788879197"],"related_works":["https://openalex.org/W3196865791","https://openalex.org/W4389230500","https://openalex.org/W2999979010","https://openalex.org/W4309833761","https://openalex.org/W3195353062","https://openalex.org/W2028555544","https://openalex.org/W4390224614","https://openalex.org/W3166365538","https://openalex.org/W2171641484","https://openalex.org/W4362544280"],"abstract_inverted_index":{"Timely":[0],"and":[1,17,34,55,70,92,134,157,183,192,210],"accurate":[2],"fault":[3,32,142],"diagnosis":[4,143],"plays":[5],"a":[6,81,96,119,126,149],"critical":[7],"role":[8],"in":[9,43],"today\u2019s":[10],"smart":[11],"manufacturing":[12,213],"practices,":[13],"saving":[14],"invaluable":[15],"time":[16],"expenditure":[18],"on":[19,52,145],"maintenance":[20],"process.":[21],"To":[22,74],"date,":[23],"numerous":[24],"data-driven":[25,45,100,128,211],"approaches":[26,194],"have":[27],"been":[28],"introduced":[29],"for":[30,141,206],"equipment":[31,41,68],"diagnosis,":[33],"part":[35],"of":[36,57,122,152,167,176,190],"them":[37],"attempt":[38],"to":[39,163],"involve":[40],"knowledge":[42,69,205],"their":[44,58],"models.":[46],"However,":[47],"those":[48],"combinations":[49],"mainly":[50],"concentrate":[51],"feature":[53],"engineering":[54],"superposition":[56],"separate":[59],"results":[60],"without":[61],"considering":[62,102],"or":[63],"leveraging":[64],"the":[65,103,165,168,174,188],"relationship":[66],"between":[67],"collecting":[71],"sensor":[72],"data.":[73],"fill":[75],"this":[76,78,200],"gap,":[77],"research":[79,201],"proposes":[80],"residual-hypergraph":[82],"convolution":[83,136],"network":[84,137],"(Res-HGCN)":[85],"approach":[86],"that":[87,199],"holistically":[88],"embeds":[89],"equipment\u2019s":[90,106,181],"structure":[91,182],"operational":[93,184],"mechanisms":[94],"as":[95],"hypergraph":[97,111,135],"form":[98],"into":[99],"model,":[101],"reaction":[104],"among":[105],"components.":[107],"The":[108],"generic":[109],"model-based":[110,191,209],"construction":[112],"framework":[113],"is":[114,139,155,197],"first":[115],"introduced,":[116],"which":[117],"represents":[118],"synergetic":[120],"mechanism":[121],"complex":[123],"equipment.":[124],"Then,":[125],"multisensory":[127],"Res-HGCN":[129],"approach,":[130],"combining":[131],"residual":[132],"block":[133],"(HGCN),":[138],"presented":[140],"based":[144],"predefined":[146],"hypergraph.":[147],"Lastly,":[148],"case":[150],"study":[151],"turbofan":[153],"engine":[154],"conducted":[156],"compared":[158],"with":[159],"other":[160,208],"typical":[161],"methods":[162],"reveal":[164],"superiority":[166],"proposed":[169],"approach.":[170],"This":[171],"work":[172],"establishes":[173],"association":[175],"different":[177],"sensing":[178],"variables":[179],"through":[180],"mechanisms,":[185],"thus":[186],"integrating":[187],"advantages":[189],"data-driven-based":[193],"holistically.":[195],"It":[196],"envisioned":[198],"can":[202],"provide":[203],"insightful":[204],"many":[207],"integrated":[212],"scenarios.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
