乐胖代购免代理版

{"id":"https://openalex.org/W3028078160","doi":"https://doi.org/10.1109/access.2020.2995586","title":"Tool Wear Condition Monitoring in Milling Process Based on Current Sensors","display_name":"Tool Wear Condition Monitoring in Milling Process Based on Current Sensors","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3028078160","doi":"https://doi.org/10.1109/access.2020.2995586","mag":"3028078160"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2995586","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09096351.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09096351.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036227634","display_name":"Yuqing Zhou","orcid":"https://orcid.org/0000-0002-8580-5427"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"funder","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Zhou","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023204180","display_name":"Weifang Sun","orcid":"https://orcid.org/0000-0002-4181-1606"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"funder","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifang Sun","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.008,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.999975,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"95491","last_page":"95502"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9998,"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":0.9998,"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/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12282","display_name":"Mineral Processing and Grinding","score":0.9943,"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/hyperparameter","display_name":"Hyperparameter","score":0.68169385},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.56135124},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5450452},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition Monitoring","score":0.4890171},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4871342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7383256},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.68169385},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.56663287},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.56135124},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5450452},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.4890171},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4871342},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.47536844},{"id":"https://openalex.org/C2776450708","wikidata":"https://www.wikidata.org/wiki/Q6008734","display_name":"Tool wear","level":3,"score":0.46293157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45939302},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.43666992},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41861382},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14295363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11222127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08172512},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2995586","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09096351.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/e87d75620b9f4244a5307f42a441a746","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":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2995586","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09096351.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"51405346"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"71471139"},{"funder":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province","award_id":"LY17E050005"}],"datasets":[],"versions":[],"referenced_works_count":62,"referenced_works":["https://openalex.org/W1187105300","https://openalex.org/W1488879437","https://openalex.org/W1904550445","https://openalex.org/W1969885214","https://openalex.org/W1972056001","https://openalex.org/W1973479775","https://openalex.org/W1984994670","https://openalex.org/W1988671308","https://openalex.org/W1990329334","https://openalex.org/W1994706628","https://openalex.org/W1996448160","https://openalex.org/W2000304567","https://openalex.org/W2003947476","https://openalex.org/W2013497991","https://openalex.org/W2020097225","https://openalex.org/W2021815137","https://openalex.org/W2038546740","https://openalex.org/W2039656620","https://openalex.org/W2057316115","https://openalex.org/W2062431257","https://openalex.org/W2068530255","https://openalex.org/W2070171541","https://openalex.org/W2071692576","https://openalex.org/W2077202034","https://openalex.org/W2092614991","https://openalex.org/W2098290011","https://openalex.org/W2115049636","https://openalex.org/W2119956477","https://openalex.org/W2121971770","https://openalex.org/W2123367805","https://openalex.org/W2167608136","https://openalex.org/W2185488195","https://openalex.org/W2277178456","https://openalex.org/W2298321445","https://openalex.org/W2299550941","https://openalex.org/W2312372500","https://openalex.org/W2321274876","https://openalex.org/W2323113328","https://openalex.org/W2344695726","https://openalex.org/W2404533848","https://openalex.org/W2411149632","https://openalex.org/W2414045041","https://openalex.org/W2415754480","https://openalex.org/W2417156194","https://openalex.org/W2417638808","https://openalex.org/W2498933636","https://openalex.org/W2549972263","https://openalex.org/W2568662015","https://openalex.org/W2594523112","https://openalex.org/W2600291457","https://openalex.org/W2740570963","https://openalex.org/W2743423608","https://openalex.org/W2750787742","https://openalex.org/W2789646893","https://openalex.org/W2793471602","https://openalex.org/W2890661766","https://openalex.org/W2909430258","https://openalex.org/W2964242156","https://openalex.org/W2986896780","https://openalex.org/W761659982","https://openalex.org/W856269280","https://openalex.org/W955873199"],"related_works":["https://openalex.org/W4247952185","https://openalex.org/W2782295999","https://openalex.org/W2162306796","https://openalex.org/W2016162169","https://openalex.org/W2015118744","https://openalex.org/W2005619368","https://openalex.org/W1970292246","https://openalex.org/W1895367623","https://openalex.org/W1879092539","https://openalex.org/W1642462315"],"abstract_inverted_index":{"Accurate":[0],"tool":[1,35,123,135],"condition":[2,36,125,136],"monitoring":[3,104,227],"(TCM)":[4],"is":[5,16,196],"essential":[6],"for":[7,48,182],"the":[8,25,43,69,90,99,128,161,168,172,180,184,193,202,221],"development":[9],"of":[10,98,130,163,167,170,174,192,236],"fully":[11],"automated":[12],"milling":[13,70,205],"processes.":[14],"This":[15],"typically":[17],"accomplished":[18],"using":[19,229],"indirect":[20],"TCM":[21,78,209,215,223],"methods":[22],"that":[23,58,155,220],"synthesize":[24],"information":[26,132],"collected":[27],"from":[28],"one":[29],"or":[30],"more":[31],"sensors":[32,53],"to":[33,134,201],"estimate":[34],"based":[37,88,106],"on":[38,68,89,107],"machine":[39,113],"learning":[40,112,171],"approaches.":[41],"Among":[42],"many":[44],"sensor":[45,85],"types":[46],"available":[47],"conducting":[49],"TCM,":[50],"motor":[51],"current":[52,84,237],"offer":[54],"numerous":[55],"advantages,":[56],"in":[57,165,211],"they":[59],"are":[60,119],"inexpensive,":[61],"easily":[62],"installed,":[63],"and":[64,93,101,126,150,178,187,207],"have":[65],"no":[66,157],"effect":[67],"process.":[71],"Accordingly,":[72],"this":[73],"study":[74],"proposes":[75],"a":[76,81,139,146,231],"new":[77],"method":[79,195,224],"employing":[80,138],"few":[82,232],"appropriate":[83],"signal":[86,234],"features":[87,118,173,235],"time,":[91],"frequency,":[92],"time":[94],"-":[95],"frequency":[96],"domains":[97],"signals":[100],"an":[102,108,151],"advanced":[103],"model":[105],"improved":[109,143],"kernel":[110,153,185],"extreme":[111],"(KELM).":[114],"The":[115,142,190,217],"selected":[116],"multi-domain":[117],"strongly":[120],"correlated":[121],"with":[122,213],"wear":[124],"overcome":[127,160],"loss":[129],"useful":[131],"related":[133],"when":[137],"single":[140],"domain.":[141],"KELM":[144,164],"employs":[145],"two-layer":[147],"network":[148],"structure":[149],"angle":[152],"function":[154,186],"includes":[156],"hyperparameter,":[158],"which":[159],"drawbacks":[162],"terms":[166],"difficulty":[169],"complex":[175],"nonlinear":[176],"data":[177],"avoiding":[179],"need":[181],"preselecting":[183],"its":[188,199],"hyperparameter.":[189],"performance":[191,228],"proposed":[194,222],"verified":[197],"by":[198],"application":[200],"benchmark":[203],"NASA":[204],"dataset":[206],"separate":[208],"experiments":[210],"comparison":[212],"existing":[214],"methods.":[216],"results":[218],"indicate":[219],"achieves":[225],"excellent":[226],"only":[230],"key":[233],"sensors.":[238]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3028078160","counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":4}],"updated_date":"2025-04-18T04:52:19.880402","created_date":"2020-05-29"}