{"id":"https://openalex.org/W4400174404","doi":"https://doi.org/10.1155/2024/8393341","title":"An Effective Dataset Preprocessing Method in Tilted Gear Defects Target Detection","display_name":"An Effective Dataset Preprocessing Method in Tilted Gear Defects Target Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400174404","doi":"https://doi.org/10.1155/2024/8393341"},"language":"en","primary_location":{"id":"doi:10.1155/2024/8393341","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1155/2024/8393341","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/2024/8393341","source":{"id":"https://openalex.org/S174662166","display_name":"Journal of Electrical and Computer Engineering","issn_l":"2090-0147","issn":["2090-0147","2090-0155"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electrical and Computer Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/2024/8393341","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063492020","display_name":"Li-fen Tu","orcid":"https://orcid.org/0000-0002-5774-8138"},"institutions":[{"id":"https://openalex.org/I4210154338","display_name":"Hubei Engineering University","ror":"https://ror.org/05amnwk22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210154338"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifen Tu","raw_affiliation_strings":["School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn"],"raw_orcid":"https://orcid.org/0000-0002-5774-8138","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]},{"raw_affiliation_string":"School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005043494","display_name":"Qi Peng","orcid":"https://orcid.org/0000-0002-5693-0480"},"institutions":[{"id":"https://openalex.org/I4210154338","display_name":"Hubei Engineering University","ror":"https://ror.org/05amnwk22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210154338"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Peng","raw_affiliation_strings":["School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn"],"raw_orcid":"https://orcid.org/0000-0002-5693-0480","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]},{"raw_affiliation_string":"School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044575215","display_name":"Aiqun Zhang","orcid":"https://orcid.org/0000-0001-7738-3773"},"institutions":[{"id":"https://openalex.org/I4210154338","display_name":"Hubei Engineering University","ror":"https://ror.org/05amnwk22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210154338"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiqun Zhang","raw_affiliation_strings":["College of Life Science and Technology ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","College of Life Science and Technology ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Life Science and Technology ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]},{"raw_affiliation_string":"College of Life Science and Technology ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052409195","display_name":"Xiao Yang","orcid":"https://orcid.org/0000-0001-7968-7260"},"institutions":[{"id":"https://openalex.org/I4210154338","display_name":"Hubei Engineering University","ror":"https://ror.org/05amnwk22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210154338"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Yang","raw_affiliation_strings":["School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]},{"raw_affiliation_string":"School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007372603","display_name":"Jiaqi Wang","orcid":"https://orcid.org/0000-0002-5045-1497"},"institutions":[{"id":"https://openalex.org/I4210154338","display_name":"Hubei Engineering University","ror":"https://ror.org/05amnwk22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210154338"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Wang","raw_affiliation_strings":["School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China ,  hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]},{"raw_affiliation_string":"School of Physics and Electronic Information Engineering ,  Hubei Engineering University ,  Xiaogan ,  432000 , Hubei,  China , hbeu.cn","institution_ids":["https://openalex.org/I4210154338"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005043494"],"corresponding_institution_ids":["https://openalex.org/I4210154338"],"apc_list":{"value":1400,"currency":"USD","value_usd":1400},"apc_paid":{"value":1400,"currency":"USD","value_usd":1400},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12013512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9817000031471252,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9817000031471252,"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"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.979200005531311,"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"}},{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9787999987602234,"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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7275434732437134},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7255356311798096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6692894697189331},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6456987261772156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5896070003509521},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5883921384811401},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5453190207481384},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4631902873516083},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.44372329115867615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42937469482421875},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.41436970233917236},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.41266632080078125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35175085067749023},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19343990087509155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1863493025302887}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7275434732437134},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7255356311798096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692894697189331},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6456987261772156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5896070003509521},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5883921384811401},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5453190207481384},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4631902873516083},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.44372329115867615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42937469482421875},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.41436970233917236},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.41266632080078125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35175085067749023},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19343990087509155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1863493025302887},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2024/8393341","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1155/2024/8393341","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/2024/8393341","source":{"id":"https://openalex.org/S174662166","display_name":"Journal of Electrical and Computer Engineering","issn_l":"2090-0147","issn":["2090-0147","2090-0155"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electrical and Computer Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:993059abe17f4ef8ac792990bf190f6f","is_oa":true,"landing_page_url":"https://doaj.org/article/993059abe17f4ef8ac792990bf190f6f","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":"Journal of Electrical and Computer Engineering, Vol 2024 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2024/8393341","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1155/2024/8393341","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/2024/8393341","source":{"id":"https://openalex.org/S174662166","display_name":"Journal of Electrical and Computer Engineering","issn_l":"2090-0147","issn":["2090-0147","2090-0155"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electrical and Computer Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7625013958","display_name":null,"funder_award_id":"T201716","funder_id":"https://openalex.org/F4320313620","funder_display_name":"Hubei Provincial Department of Education"}],"funders":[{"id":"https://openalex.org/F4320313620","display_name":"Hubei Provincial Department of Education","ror":"https://ror.org/05yaa9j15"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400174404.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2897555495","https://openalex.org/W2939398318","https://openalex.org/W2989896028","https://openalex.org/W3002554337","https://openalex.org/W3022430593","https://openalex.org/W3096609285","https://openalex.org/W3110819769","https://openalex.org/W3120371870","https://openalex.org/W3133535285","https://openalex.org/W3163567756","https://openalex.org/W3165012668","https://openalex.org/W3169708801","https://openalex.org/W3198203285","https://openalex.org/W4200127458","https://openalex.org/W4206391615","https://openalex.org/W4206532956","https://openalex.org/W4280563018","https://openalex.org/W4285506213","https://openalex.org/W4290517836","https://openalex.org/W4319736335","https://openalex.org/W4324116440","https://openalex.org/W4365790486","https://openalex.org/W4366385016","https://openalex.org/W4376605831","https://openalex.org/W4381325645","https://openalex.org/W4382727998","https://openalex.org/W4385413432"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W2949303564","https://openalex.org/W2776054962","https://openalex.org/W4300812085","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287728368","https://openalex.org/W3039174484"],"abstract_inverted_index":{"Gear":[0],"defect":[1,27,129,154,163,226,287],"detection":[2,28,87,130,155,164,181,227,239,259,374],"is":[3,32,37,136,183,190,218],"a":[4,65,97,264,312],"crucial":[5],"component":[6],"in":[7,20,53,60,85,90,149,185,211,277,284,369,372],"power":[8],"automation":[9],"systems.":[10],"Methods":[11],"based":[12,93],"on":[13,94,294,320,342],"deep":[14,95],"learning":[15],"have":[16],"exhibited":[17,301,326],"excellent":[18],"performance":[19],"detecting":[21],"gears.":[22],"However,":[23],"the":[24,40,54,69,80,86,105,111,121,128,133,139,145,150,162,172,175,180,188,193,203,206,214,224,230,242,250,257,272,291,295,316,321,343,361,364,373],"effect":[25],"of":[26,68,82,88,110,152,205,304,329,363,375],"for":[29],"tilted":[30,61,91,285,376],"gears":[31,92],"not":[33,72],"as":[34,144,263],"good.":[35],"This":[36,359],"due":[38],"to":[39,74,78,126,138,168,192,201,220,248],"traditional":[41],"horizontal":[42],"bounding":[43,56],"box":[44,57],"annotation":[45,108],"method,":[46],"which":[47,157],"inevitably":[48],"produces":[49],"many":[50],"overlapping":[51],"areas":[52,70],"annotated":[55],"when":[58],"used":[59,219],"gear":[62,225,286,377],"targets,":[63],"and":[64,107,114,187,222,233,253,351],"large":[66],"part":[67],"do":[71],"belong":[73],"defects.":[75,378],"In":[76,166,199],"order":[77,167,200],"address":[79],"issue":[81],"low":[83],"precision":[84,260],"defects":[89],"learning,":[96],"dataset":[98,207,231,251,365],"preprocessing":[99],"scheme":[100],"has":[101,280],"been":[102],"proposed.":[103],"Initially,":[104],"images":[106],"files":[109],"training":[112],"set":[113,116,135,196],"validation":[115],"are":[117,124,158],"automatically":[118],"rotated.":[119],"Subsequently,":[120],"rotated":[122,184],"data":[123,273],"utilized":[125],"train":[127,221],"model.":[131,165],"Finally,":[132],"test":[134,195],"subjected":[137],"same":[140,215],"image":[141],"rotation":[142],"method":[143,209,275,293,317,367],"first":[146],"step,":[147],"resulting":[148],"generation":[151],"high\u2010precision":[153],"results,":[156],"then":[159],"input":[160],"into":[161],"facilitate":[169],"comparison":[170,266],"with":[171,229,241,256],"ground":[173],"truth,":[174],"JSON":[176],"file":[177,217],"obtained":[178],"from":[179],"result":[182,189],"reverse":[186],"mapped":[191],"original":[194],"before":[197,232,252],"rotation.":[198],"verify":[202],"effectiveness":[204,362],"optimization":[208,274],"proposed":[210,276,292,368],"this":[212,278,370],"article,":[213],"configuration":[216],"evaluate":[223],"model":[228],"after":[234,254],"optimization,":[235,255],"respectively.":[236],"The":[237,268],"three":[238],"models":[240],"highest":[243],"comprehensive":[244],"indicators":[245],"were":[246],"employed":[247],"assess":[249],"average":[258],"mAP":[261,283,299,307,324,332,346,352],"serving":[262],"quantitative":[265],"indicator.":[267],"findings":[269],"demonstrate":[270],"that":[271],"article":[279,371],"markedly":[281],"enhanced":[282],"detection.":[288],"Upon":[289],"testing":[290],"PP\u2010YOLOE":[296],"+":[297],"model,":[298,323,345],"(0.5)":[300,325,347],"an":[302,327,337],"increase":[303,328],"18.5%,":[305],"while":[306,331],"(0.5":[308,333,353],":":[309,334,354],"0.95)":[310,335,355],"demonstrated":[311,336],"29.1%":[313],"improvement.":[314,339],"When":[315,340],"was":[318],"tested":[319,341],"RT\u2010DETR":[322],"24.7%,":[330],"18.4%":[338],"few\u2010short":[344],"increased":[348,356],"by":[349,357],"23.3%":[350],"19.8%.":[358],"validates":[360],"processing":[366]},"counts_by_year":[],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}