乐胖代购免代理版

{"id":"https://openalex.org/W2888975433","doi":"https://doi.org/10.1109/icphm.2018.8448464","title":"A Condition Monitoring System for Low Vacuum Plasma Spray using Computer Vision","display_name":"A Condition Monitoring System for Low Vacuum Plasma Spray using Computer Vision","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2888975433","doi":"https://doi.org/10.1109/icphm.2018.8448464","mag":"2888975433"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2018.8448464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060460337","display_name":"Stephen Adams","orcid":"https://orcid.org/0000-0002-1207-4504"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Adams","raw_affiliation_strings":["Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084559902","display_name":"Graham Crannell","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Graham Crannell","raw_affiliation_strings":["Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021669111","display_name":"Ann Bolcavage","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127856","display_name":"Rolls-Royce (United States)","ror":"https://ror.org/03gwgww50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127856"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ann Bolcavage","raw_affiliation_strings":["Rolls-Royce Corporation, Indianapolis, IN"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce Corporation, Indianapolis, IN","institution_ids":["https://openalex.org/I4210127856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056489246","display_name":"Roy McIntyre","orcid":null},"institutions":[{"id":"https://openalex.org/I866009140","display_name":"Rolls-Royce (United Kingdom)","ror":"https://ror.org/04h08p482","country_code":"GB","type":"company","lineage":["https://openalex.org/I866009140"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Roy McIntyre","raw_affiliation_strings":["Rolls-Royce plc., Derby, UK"],"affiliations":[{"raw_affiliation_string":"Rolls-Royce plc., Derby, UK","institution_ids":["https://openalex.org/I866009140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056670558","display_name":"Peter A. Beling","orcid":"https://orcid.org/0000-0003-2196-6982"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter A. Beling","raw_affiliation_strings":["Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.402,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":6,"citation_normalized_percentile":{"value":0.763264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":82},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9652,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9652,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12549","display_name":"Image and Object Detection Techniques","score":0.9564,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13470","display_name":"Surface Treatment and Coatings","score":0.9469,"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/supervised-learning","display_name":"Supervised Learning","score":0.46465558}],"concepts":[{"id":"https://openalex.org/C2779104521","wikidata":"https://www.wikidata.org/wiki/Q23058469","display_name":"Contouring","level":2,"score":0.77385867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7409324},{"id":"https://openalex.org/C56200935","wikidata":"https://www.wikidata.org/wiki/Q250840","display_name":"Nozzle","level":2,"score":0.6717379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60850865},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.57363874},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.46465558},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4531411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4420211},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.43409088},{"id":"https://openalex.org/C116705413","wikidata":"https://www.wikidata.org/wiki/Q2167111","display_name":"Spray nozzle","level":3,"score":0.43265814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42343032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15521345},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14388722},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.09285858},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2018.8448464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W10980763","https://openalex.org/W1600399982","https://openalex.org/W1781870695","https://openalex.org/W1975246563","https://openalex.org/W1996346325","https://openalex.org/W2014612088","https://openalex.org/W2015556618","https://openalex.org/W2025106108","https://openalex.org/W2027181118","https://openalex.org/W2041082557","https://openalex.org/W2057419273","https://openalex.org/W2093555426","https://openalex.org/W2101210369","https://openalex.org/W2104290444","https://openalex.org/W2119991813","https://openalex.org/W2139823104","https://openalex.org/W2145494108","https://openalex.org/W2156773773","https://openalex.org/W2167813720","https://openalex.org/W2293363371","https://openalex.org/W2297833218","https://openalex.org/W2529860957","https://openalex.org/W2560854140","https://openalex.org/W2599235082","https://openalex.org/W2609817534","https://openalex.org/W2781506647","https://openalex.org/W2997701990","https://openalex.org/W3148472308","https://openalex.org/W4232545113"],"related_works":["https://openalex.org/W98693656","https://openalex.org/W3158004940","https://openalex.org/W2961085424","https://openalex.org/W2921036759","https://openalex.org/W2623427976","https://openalex.org/W2514090203","https://openalex.org/W2412743628","https://openalex.org/W2400051652","https://openalex.org/W2082548634","https://openalex.org/W2001652754"],"abstract_inverted_index":{"Low":[0],"vacuum":[1],"plasma":[2,49],"spray":[3,38,50,90,107],"is":[4,40,53,127,138],"used":[5],"to":[6,13,45,66,101,113,122],"apply":[7],"an":[8,97],"oxidation":[9],"resistant":[10],"metallic":[11],"coating":[12,19],"jet":[14],"turbine":[15],"engine":[16],"parts.":[17,82],"This":[18],"environmentally":[20],"protects":[21],"the":[22,25,29,32,48,58,68,76,88,103,106,125,162,183,192,196,199],"part":[23],"from":[24],"high":[26],"temperatures":[27],"in":[28,70],"engine.":[30],"Under":[31],"current":[33],"operational":[34],"protocol,":[35],"a":[36,119,141,148],"test":[37,89],"pattern":[39,108],"evaluated":[41],"by":[42,134],"human":[43,69],"workers":[44],"ensure":[46],"that":[47],"gun":[51],"nozzle":[52,126],"correctly":[54,128],"aligned.":[55,129],"We":[56,74,95,165],"investigate":[57],"ability":[59],"for":[60],"computer":[61,77],"vision":[62,78],"and":[63,92,109,147,156],"machine":[64],"learning":[65,179],"replace":[67],"this":[71],"evaluation":[72],"process.":[73],"split":[75],"system":[79],"into":[80],"two":[81],"The":[83,116,130],"first":[84],"processes":[85],"images":[86,146,194],"of":[87,105,140,144,151,198],"plates":[91],"extracts":[93],"features.":[94,115],"use":[96],"active":[98],"contouring":[99],"algorithm":[100],"find":[102],"edges":[104],"moment-based":[110],"shape":[111],"analysis":[112],"extract":[114],"second":[117],"uses":[118],"binary":[120],"classifier":[121,200],"estimate":[123],"if":[124,190],"data":[131,163],"set":[132],"provided":[133],"our":[135],"industrial":[136],"partner":[137],"composed":[139],"small":[142],"number":[143,150],"labeled":[145],"larger":[149],"unlabeled":[152,193],"images.":[153],"Several":[154],"supervised":[155,173,184],"semi-supervised":[157,175,178],"classifiers":[158],"are":[159],"tested":[160],"on":[161],"set.":[164],"can":[166],"achieve":[167],"accuracy":[168],"above":[169],"90%":[170],"using":[171,191],"either":[172],"or":[174],"learning,":[176],"however,":[177],"does":[180],"not":[181],"outperform":[182],"classifiers.":[185],"Therefore,":[186],"we":[187],"cannot":[188],"conclude":[189],"improves":[195],"quality":[197],"without":[201],"further":[202],"investigation.":[203]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2888975433","counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-01-06T16:42:46.392164","created_date":"2018-09-07"}