{"id":"https://openalex.org/W4398145337","doi":"https://doi.org/10.3390/app14104314","title":"Identification of Milling Cutter Wear State under Variable Working Conditions Based on Optimized SDP","display_name":"Identification of Milling Cutter Wear State under Variable Working Conditions Based on Optimized SDP","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4398145337","doi":"https://doi.org/10.3390/app14104314"},"language":"en","primary_location":{"id":"doi:10.3390/app14104314","doi":"https://doi.org/10.3390/app14104314","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14104314","pdf_url":null,"source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/app14104314","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073021458","display_name":"Hao Chang","orcid":"https://orcid.org/0000-0001-8838-2813","observed_orcids":["https://orcid.org/0000-0001-8838-2813"]},"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":"Hao Chang","raw_affiliation_strings":["Key Laboratory of NC Machine Tools and Integrated Manufacturing Equipment of the Ministry of Education & Key Laboratory of Manufacturing Equipment of Shaanxi Province, Xi\u2019an University of Technology, Xi\u2019an 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of NC Machine Tools and Integrated Manufacturing Equipment of the Ministry of Education & Key Laboratory of Manufacturing Equipment of Shaanxi Province, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086293251","display_name":"Feng Gao","orcid":"https://orcid.org/0009-0008-2361-2196","observed_orcids":["https://orcid.org/0009-0008-2361-2196"]},"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":"Feng Gao","raw_affiliation_strings":["Key Laboratory of NC Machine Tools and Integrated Manufacturing Equipment of the Ministry of Education & Key Laboratory of Manufacturing Equipment of Shaanxi Province, Xi\u2019an University of Technology, Xi\u2019an 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of NC Machine Tools and Integrated Manufacturing Equipment of the Ministry of Education & Key Laboratory of Manufacturing Equipment of Shaanxi Province, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357875","display_name":"Yan Li","orcid":"https://orcid.org/0000-0001-5434-4763","observed_orcids":["https://orcid.org/0000-0001-5434-4763"]},"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":"Yan Li","raw_affiliation_strings":["Key Laboratory of NC Machine Tools and Integrated Manufacturing Equipment of the Ministry of Education & Key Laboratory of Manufacturing Equipment of Shaanxi Province, Xi\u2019an University of Technology, Xi\u2019an 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of NC Machine Tools and Integrated Manufacturing Equipment of the Ministry of Education & Key Laboratory of Manufacturing Equipment of Shaanxi Province, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019798107","display_name":"Lihong Chang","orcid":"https://orcid.org/0009-0005-6650-4556","observed_orcids":["https://orcid.org/0009-0005-6650-4556"]},"institutions":[{"id":"https://openalex.org/I4210137558","display_name":"Beijing University of Agriculture","ror":"https://ror.org/03t9adt98","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210137558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihong Chang","raw_affiliation_strings":["Department of Rural Regional Development, College of Humanities and Urban-Rural Development, Beijing University of Agriculture, Beijing 102206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Rural Regional Development, College of Humanities and Urban-Rural Development, Beijing University of Agriculture, Beijing 102206, China","institution_ids":["https://openalex.org/I4210137558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086293251","https://openalex.org/A5100357875"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2728},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2728},"fwci":0.1273,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30829591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"14","issue":"10","first_page":"4314","last_page":"4314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.7226999998092651,"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"}},"topics":[{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.7226999998092651,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.2524000108242035,"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/T13113","display_name":"Engineering Technology and Methodologies","score":0.017400000244379044,"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/variable-working-conditions","display_name":"variable operating conditions","score":0.7730000019073486},{"id":"https://openalex.org/keywords/symmetrized-dot-pattern","display_name":"symmetrized dot pattern","score":0.9710000157356262},{"id":"https://openalex.org/keywords/vibration-signal-analysis","display_name":"vibration signal analysis","score":0.4169999957084656},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.5839999914169312},{"id":"https://openalex.org/keywords/differential-evolution-parameter-optimization","display_name":"differential evolution parameter optimization","score":0.7039999961853027}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6405473351478577},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3294551372528076},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.04516100883483887},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/app14104314","doi":"https://doi.org/10.3390/app14104314","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14104314","pdf_url":null,"source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:053db9773c9c4a67af54cf3924c4a91b","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/053db9773c9c4a67af54cf3924c4a91b","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,"listed_in":[],"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":"Applied Sciences, Vol 14, Iss 10, p 4314 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app14104314","doi":"https://doi.org/10.3390/app14104314","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14104314","pdf_url":null,"source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321857","display_name":"Beijing University of Agriculture","ror":"https://ror.org/03t9adt98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1970374786","https://openalex.org/W2057220408","https://openalex.org/W2165698076","https://openalex.org/W2338025117","https://openalex.org/W2595031556","https://openalex.org/W2786808285","https://openalex.org/W2901431366","https://openalex.org/W2938161931","https://openalex.org/W2984261502","https://openalex.org/W2985778816","https://openalex.org/W2988017727","https://openalex.org/W2995453054","https://openalex.org/W3041133507","https://openalex.org/W3088834512","https://openalex.org/W3093010392","https://openalex.org/W3113986652","https://openalex.org/W3128568535","https://openalex.org/W3142420316","https://openalex.org/W3180016273","https://openalex.org/W3194659978","https://openalex.org/W3200480588","https://openalex.org/W3210689982","https://openalex.org/W3213868507","https://openalex.org/W4200318892","https://openalex.org/W4206270773","https://openalex.org/W4206648819","https://openalex.org/W4221121733","https://openalex.org/W4284889736","https://openalex.org/W4298009581","https://openalex.org/W4310184628","https://openalex.org/W4313367899","https://openalex.org/W4313891065","https://openalex.org/W6770257890"],"related_works":["https://openalex.org/W3041652226","https://openalex.org/W7164884211","https://openalex.org/W4392716436","https://openalex.org/W4412449296","https://openalex.org/W4403134021","https://openalex.org/W4407400016","https://openalex.org/W4406767262","https://openalex.org/W3116790525","https://openalex.org/W4408321299","https://openalex.org/W4403339503"],"abstract_inverted_index":{"Traditional":[0],"data-driven":[1],"tool":[2],"wear":[3,49,83,121,157,191,195],"state":[4,50,84,158,196],"recognition":[5,85,208],"methods":[6],"rely":[7],"on":[8,59,184],"complete":[9,69],"data":[10,24,31,70],"under":[11,54,162,199],"targeted":[12],"working":[13,20,56,73,89,164,181],"conditions.":[14,36,165],"However,":[15],"in":[16,174],"actual":[17],"cutting":[18],"operations,":[19],"conditions":[21,27,57,74],"vary,":[22],"and":[23,123,210],"for":[25,46,75],"many":[26],"lack":[28],"labels,":[29],"with":[30,144],"distribution":[32],"characteristics":[33],"differing":[34],"between":[35],"To":[37],"address":[38],"these":[39],"issues,":[40],"this":[41,175],"article":[42],"proposes":[43],"a":[44,79,145],"method":[45,67,172],"recognizing":[47],"the":[48,98,134,156,171,178,185,194,202],"of":[51,119,136,159,180,188],"milling":[52,81,103,160,189],"cutters":[53,161],"varying":[55,88,163,200],"based":[58],"an":[60,140,149],"optimized":[61],"symmetrized":[62],"dot":[63,108],"pattern":[64,109],"(SDP).":[65],"This":[66],"utilizes":[68],"from":[71],"source":[72],"representation":[76],"learning,":[77],"transferring":[78],"generalized":[80],"cutter":[82,190],"model":[86],"to":[87,115,129,154],"condition":[90,182],"scenarios.":[91],"By":[92],"leveraging":[93],"computer":[94],"image":[95],"processing":[96],"features,":[97],"vibration":[99],"signals":[100],"produced":[101],"by":[102],"are":[104,127],"converted":[105],"into":[106],"desymmetrization":[107],"images.":[110],"Clustering":[111],"analysis":[112],"is":[113,152],"used":[114,153],"extract":[116],"template":[117],"images":[118],"different":[120],"states,":[122],"differential":[124],"evolution":[125],"algorithms":[126],"employed":[128],"adaptively":[130],"optimize":[131],"parameters":[132],"using":[133],"maximization":[135],"Euclidean":[137],"distance":[138],"as":[139],"indicator.":[141],"Transfer":[142],"learning":[143],"residual":[146],"network":[147],"incorporating":[148],"attention":[150],"mechanism":[151],"recognize":[155],"The":[166],"experimental":[167],"results":[168],"indicate":[169],"that":[170],"proposed":[173],"paper":[176],"reduces":[177],"impact":[179],"changes":[183],"mapping":[186],"relationship":[187],"states.":[192],"In":[193],"identification":[197],"experiment":[198],"conditions,":[201],"accuracy":[203],"reached":[204],"97.39%,":[205],"demonstrating":[206],"good":[207],"precision":[209],"generalization":[211],"ability.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2024-05-21T00:00:00"}
