{"id":"https://openalex.org/W4320735531","doi":"https://doi.org/10.3934/nhm.2023027","title":"Fault diagnosis of printing press bearing based on deformable convolution residual neural network","display_name":"Fault diagnosis of printing press bearing based on deformable convolution residual neural network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320735531","doi":"https://doi.org/10.3934/nhm.2023027"},"language":"en","primary_location":{"id":"doi:10.3934/nhm.2023027","is_oa":true,"landing_page_url":"https://doi.org/10.3934/nhm.2023027","pdf_url":null,"source":{"id":"https://openalex.org/S21752972","display_name":"Networks and Heterogeneous Media","issn_l":"1556-1801","issn":["1556-1801","1556-181X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315844","host_organization_name":"American Institute of Mathematical Sciences","host_organization_lineage":["https://openalex.org/P4310315844"],"host_organization_lineage_names":["American Institute of Mathematical Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Networks and Heterogeneous Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.3934/nhm.2023027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026462429","display_name":"Qiumin Wu","orcid":"https://orcid.org/0009-0002-6607-7337"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiumin Wu","raw_affiliation_strings":["Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi' an 710048, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi' an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088865404","display_name":"Ziqi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Zhu","raw_affiliation_strings":["Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi' an 710048, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi' an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103182335","display_name":"Jiahui Tang","orcid":"https://orcid.org/0000-0002-4933-527X"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Tang","raw_affiliation_strings":["School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085524642","display_name":"Yukang Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yukang Xia","raw_affiliation_strings":["Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi' an 710048, China","School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi' an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085524642"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.916,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73096509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"18","issue":"2","first_page":"622","last_page":"646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9850999712944031,"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":0.9830999970436096,"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/bearing","display_name":"Bearing (navigation)","score":0.7066265344619751},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6478168964385986},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6448051929473877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6401419043540955},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6197032332420349},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6151930689811707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5920006036758423},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5741609334945679},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5461413264274597},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47566789388656616},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4604189693927765},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.42592722177505493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41488149762153625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3723148703575134},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08735322952270508},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.07829391956329346}],"concepts":[{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.7066265344619751},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6478168964385986},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6448051929473877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6401419043540955},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6197032332420349},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6151930689811707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5920006036758423},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5741609334945679},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5461413264274597},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47566789388656616},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4604189693927765},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.42592722177505493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41488149762153625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3723148703575134},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08735322952270508},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.07829391956329346},{"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3934/nhm.2023027","is_oa":true,"landing_page_url":"https://doi.org/10.3934/nhm.2023027","pdf_url":null,"source":{"id":"https://openalex.org/S21752972","display_name":"Networks and Heterogeneous Media","issn_l":"1556-1801","issn":["1556-1801","1556-181X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315844","host_organization_name":"American Institute of Mathematical Sciences","host_organization_lineage":["https://openalex.org/P4310315844"],"host_organization_lineage_names":["American Institute of Mathematical Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Networks and Heterogeneous Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cb6c8ba39a1245b9bfc670a3f03cd8d9","is_oa":true,"landing_page_url":"https://doaj.org/article/cb6c8ba39a1245b9bfc670a3f03cd8d9","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":"Networks and Heterogeneous Media, Vol 18, Iss 2, Pp 622-646 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3934/nhm.2023027","is_oa":true,"landing_page_url":"https://doi.org/10.3934/nhm.2023027","pdf_url":null,"source":{"id":"https://openalex.org/S21752972","display_name":"Networks and Heterogeneous Media","issn_l":"1556-1801","issn":["1556-1801","1556-181X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315844","host_organization_name":"American Institute of Mathematical Sciences","host_organization_lineage":["https://openalex.org/P4310315844"],"host_organization_lineage_names":["American Institute of Mathematical Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Networks and Heterogeneous Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W2012685480","https://openalex.org/W2053114435","https://openalex.org/W2053741029","https://openalex.org/W2109555197","https://openalex.org/W2230524333","https://openalex.org/W2296077894","https://openalex.org/W2297890608","https://openalex.org/W2317595875","https://openalex.org/W2401231614","https://openalex.org/W2464878551","https://openalex.org/W2616247523","https://openalex.org/W2756408590","https://openalex.org/W2789096945","https://openalex.org/W2901167944","https://openalex.org/W2922246408","https://openalex.org/W2972641997","https://openalex.org/W2977117446","https://openalex.org/W2981982720","https://openalex.org/W2984976690","https://openalex.org/W2996827952","https://openalex.org/W2999406639","https://openalex.org/W3011239283","https://openalex.org/W3013482090","https://openalex.org/W3027394187","https://openalex.org/W3083569822","https://openalex.org/W3090773633","https://openalex.org/W3102564565","https://openalex.org/W3118806625","https://openalex.org/W3158768656","https://openalex.org/W3175239808","https://openalex.org/W3186285864","https://openalex.org/W3191732179","https://openalex.org/W3211910106","https://openalex.org/W4200415218","https://openalex.org/W4210522264","https://openalex.org/W4221115553","https://openalex.org/W4281894958","https://openalex.org/W4286914341","https://openalex.org/W4288769130","https://openalex.org/W4289868147","https://openalex.org/W4292641113","https://openalex.org/W4293794979","https://openalex.org/W4294811335","https://openalex.org/W4298143609","https://openalex.org/W4303684738","https://openalex.org/W4313197748"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W2991587282","https://openalex.org/W4288018740","https://openalex.org/W3008919350"],"abstract_inverted_index":{"&lt;abstract&gt;":[0],"&lt;p&gt;Rolling":[1],"bear":[2],"is":[3,84,114,148,187,209,273],"a":[4,22,172],"major":[5],"critical":[6],"component":[7],"of":[8,18,30,107,194,206,227,265],"rotating":[9],"machinery,":[10],"as":[11,70,150,165],"its":[12],"working":[13,222,271],"condition":[14,25],"affects":[15],"the":[16,19,24,38,47,66,71,103,108,118,128,134,146,151,155,168,183,191,204,213,228,235,247,255,276],"performance":[17],"equipment.":[20],"As":[21],"result,":[23],"monitoring":[26],"and":[27,34,56,96,101,130,140,154,220,246,249],"fault":[28,49,76,105,125,225,261],"diagnosis":[29,77,106,226,262],"bearings":[31,69,268],"get":[32],"more":[33,35],"attention.":[36],"However,":[37],"strong":[39,81,180,243],"background":[40,82,181,244],"noise":[41,83],"makes":[42],"it":[43],"difficult":[44],"to":[45,116,122,175,189],"extract":[46,176],"bearing":[48,124,240],"features":[50,126,143,178],"exactly.":[51],"Furthermore,":[52],"regular":[53],"gradient":[54],"disappearance":[55],"overfit":[57],"appear":[58],"in":[59,127,136],"traditional":[60],"network":[61,99,201],"model":[62,169],"training.":[63],"Therefore,":[64],"taking":[65],"printing":[67,109,229,266],"press":[68,110,267],"research":[72],"object,":[73],"an":[74],"intelligent":[75,260],"method":[78,87,208],"based":[79],"on":[80],"proposed.":[85],"This":[86],"integrates":[88],"frequency":[89,131,138],"slice":[90],"wavelet":[91],"transform":[92],"(FSWT),":[93],"deformable":[94,184,197],"convolution":[95,185,192,198],"residual":[97,199],"neural":[98,200],"together,":[100],"realizes":[102],"high-precision":[104,264],"bearings.":[111],"First,":[112],"FSWT":[113],"used":[115,164],"preprocess":[117],"original":[119],"vibration":[120],"signal":[121,135],"obtain":[123],"time":[129],"domain,":[132],"reconstruct":[133,190],"any":[137],"band":[139],"describe":[141],"local":[142],"accurately.":[144],"Second,":[145],"ResNet":[147],"selected":[149],"base":[152],"network,":[153],"two-dimensional":[156],"time-frequency":[157],"diagrams":[158],"(TFD)":[159],"obtained":[160],"by":[161,211,275],"preprocessing":[162],"are":[163,251],"input.":[166],"For":[167],"that":[170,234],"has":[171],"poor":[173],"ability":[174],"subtle":[177],"under":[179,217,242,269],"noise,":[182,245],"layer":[186,193],"introduced":[188],"ResNet,":[195],"called":[196],"(DC-ResNet).":[202],"Finally,":[203],"effectiveness":[205],"this":[207],"verified":[210],"using":[212],"data":[214],"sets":[215],"collected":[216],"experimental":[218],"conditions":[219,223,272],"actual":[221],"for":[224],"press.":[230],"The":[231,259],"results":[232],"show":[233],"DC-ResNet":[236],"can":[237],"classify":[238],"different":[239],"faults":[241],"accuracy":[248,256],"stability":[250],"greatly":[252],"improved,":[253],"which":[254],"meets":[257],"93.90%.":[258],"with":[263],"complex":[270],"realized":[274],"proposed":[277],"method.&lt;/p&gt;":[278],"&lt;/abstract&gt;":[279]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
