{"id":"https://openalex.org/W4410813970","doi":"https://doi.org/10.1145/3728199.3728211","title":"A Fault Diagnosis Method for Rotating Machinery Based on Gramian Angular Field and DGCN","display_name":"A Fault Diagnosis Method for Rotating Machinery Based on Gramian Angular Field and DGCN","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4410813970","doi":"https://doi.org/10.1145/3728199.3728211"},"language":"en","primary_location":{"id":"doi:10.1145/3728199.3728211","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728199.3728211","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728199.3728211","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3728199.3728211","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066139504","display_name":"Jingbo Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhui Zhai","raw_affiliation_strings":["Logistics Engineering College, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Logistics Engineering College, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634275","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0001-8004-5310"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["Logistics Engineering College, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Logistics Engineering College, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001146883","display_name":"H. Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongrui Mao","raw_affiliation_strings":["Logistics Engineering College, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Logistics Engineering College, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066139504"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15746888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"74","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.98580002784729,"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":0.98580002784729,"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":0.9854999780654907,"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"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/gramian-matrix","display_name":"Gramian matrix","score":0.599491536617279},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5314031839370728},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5233116149902344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4435175657272339},{"id":"https://openalex.org/keywords/angular-velocity","display_name":"Angular velocity","score":0.4127756357192993},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36703962087631226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29353541135787964},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2784730792045593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25809967517852783},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15293782949447632},{"id":"https://openalex.org/keywords/classical-mechanics","display_name":"Classical mechanics","score":0.09128120541572571}],"concepts":[{"id":"https://openalex.org/C77246614","wikidata":"https://www.wikidata.org/wiki/Q1409400","display_name":"Gramian matrix","level":3,"score":0.599491536617279},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5314031839370728},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5233116149902344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4435175657272339},{"id":"https://openalex.org/C5594486","wikidata":"https://www.wikidata.org/wiki/Q161635","display_name":"Angular velocity","level":2,"score":0.4127756357192993},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36703962087631226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29353541135787964},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2784730792045593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25809967517852783},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15293782949447632},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.09128120541572571},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3728199.3728211","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728199.3728211","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728199.3728211","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3728199.3728211","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728199.3728211","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728199.3728211","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410813970.pdf","grobid_xml":"https://content.openalex.org/works/W4410813970.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W170811313","https://openalex.org/W2024860047","https://openalex.org/W2061438946","https://openalex.org/W2525786140","https://openalex.org/W4213412151","https://openalex.org/W4220881342","https://openalex.org/W4390973988","https://openalex.org/W4401487746","https://openalex.org/W4404020342","https://openalex.org/W4404042609"],"related_works":["https://openalex.org/W4390355884","https://openalex.org/W4302344890","https://openalex.org/W3102707439","https://openalex.org/W2464112360","https://openalex.org/W2436722607","https://openalex.org/W3211291180","https://openalex.org/W4309006749","https://openalex.org/W2498083155","https://openalex.org/W2095132598","https://openalex.org/W2063018656"],"abstract_inverted_index":{"The":[0,120,139],"traditional":[1],"fault":[2,22,33],"feature":[3,156],"extraction":[4],"methods":[5],"have":[6],"large":[7],"computational":[8],"costs":[9],"and":[10,42,58,127,158,170],"are":[11,134],"difficult":[12],"to":[13,75,116],"comprehensively":[14],"characterize":[15],"the":[16,21,52,59,66,70,77,87,102,111,128,143,161],"signal":[17,53,60,80,88],"state.":[18],"To":[19],"improve":[20],"diagnosis":[23,34,90],"accuracy":[24,149,168],"of":[25,104,113,130,151],"rotating":[26],"mechanisms":[27],"such":[28],"as":[29],"rolling":[30],"bearings,":[31],"a":[32,82,165],"method":[35,163],"based":[36],"on":[37],"Gramian":[38],"Angular":[39],"Field":[40],"(GAF)":[41],"Dual-Channel":[43],"Graph":[44],"Convolutional":[45],"Neural":[46],"Network":[47],"(DGCN)":[48],"is":[49,54,62,73,108],"proposed.":[50],"Firstly,":[51],"decomposed":[55],"by":[56,65],"GWO-VMD":[57],"noise":[61],"filtered":[63],"out":[64],"kurtosis":[67],"criterion.":[68],"Then,":[69],"GAF":[71],"algorithm":[72],"introduced":[74,109,135],"convert":[76],"one-dimensional":[78],"time-domain":[79],"into":[81,92,110],"two-dimensional":[83,114],"image,":[84],"thereby":[85],"transforming":[86],"pattern":[89],"problem":[91],"an":[93,148],"image":[94],"classification":[95,112],"problem.":[96],"On":[97],"this":[98,106],"basis,":[99],"combined":[100],"with":[101,154],"characteristics":[103],"DGCN,":[105],"model":[107,145],"images":[115],"accurately":[117],"identify":[118],"faults.":[119],"Case":[121],"Western":[122],"Reserve":[123],"University":[124,129],"bearing":[125],"dataset":[126,133],"Connecticut":[131],"gear":[132],"for":[136],"case":[137],"analysis.":[138],"results":[140],"show":[141],"that":[142],"proposed":[144,162],"can":[146],"achieve":[147],"rate":[150,169],"99.8%.":[152],"Compared":[153],"different":[155],"inputs":[157],"diagnostic":[159,167],"models,":[160],"has":[164],"higher":[166],"faster":[171],"calculation":[172],"speed,":[173],"demonstrating":[174],"certain":[175],"superiority.":[176]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
