{"id":"https://openalex.org/W2805248772","doi":"https://doi.org/10.1017/s0890060417000518","title":"Feature evaluation and selection for condition monitoring using a self-organizing map and spatial statistics","display_name":"Feature evaluation and selection for condition monitoring using a self-organizing map and spatial statistics","publication_year":2018,"publication_date":"2018-05-28","ids":{"openalex":"https://openalex.org/W2805248772","doi":"https://doi.org/10.1017/s0890060417000518","mag":"2805248772"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060417000518","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060417000518","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},"type":"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/A5108047765","display_name":"Rui Silva","orcid":"https://orcid.org/0000-0002-7929-0367"},"institutions":[{"id":"https://openalex.org/I4401200244","display_name":"Funda\u00e7\u00e3o Minerva - Cultura - Ensino e Investiga\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/056g0b798","country_code":null,"type":"other","lineage":["https://openalex.org/I4401200244"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Rui G. Silva","raw_affiliation_strings":["Universidade Lus\u00edada de VN Famalic\u00e3o, Largo Tinoco de Sousa, 4760-108 Vila Nova de Famalic\u00e3o, Portugal"],"affiliations":[{"raw_affiliation_string":"Universidade Lus\u00edada de VN Famalic\u00e3o, Largo Tinoco de Sousa, 4760-108 Vila Nova de Famalic\u00e3o, Portugal","institution_ids":["https://openalex.org/I4401200244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113525283","display_name":"S. J. Wilcox","orcid":null},"institutions":[{"id":"https://openalex.org/I128993996","display_name":"University of South Wales","ror":"https://ror.org/02mzn7s88","country_code":"GB","type":"education","lineage":["https://openalex.org/I128993996"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven J. Wilcox","raw_affiliation_strings":["University of South Wales, Pontypridd, CF37 1DL, UK"],"affiliations":[{"raw_affiliation_string":"University of South Wales, Pontypridd, CF37 1DL, UK","institution_ids":["https://openalex.org/I128993996"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108047765"],"corresponding_institution_ids":["https://openalex.org/I4401200244"],"apc_list":null,"apc_paid":null,"fwci":2.6753,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8917791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"1","first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9909999966621399,"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":0.9909999966621399,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9790999889373779,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9685999751091003,"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/computer-science","display_name":"Computer science","score":0.6899008750915527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6701231598854065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6360478401184082},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6231135129928589},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5640558004379272},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5576013326644897},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5538114309310913},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5172815322875977},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49032071232795715},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.47961175441741943},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4641830325126648},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4585745930671692},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.123806893825531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899008750915527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6701231598854065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6360478401184082},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6231135129928589},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5640558004379272},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5576013326644897},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5538114309310913},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5172815322875977},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49032071232795715},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.47961175441741943},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4641830325126648},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4585745930671692},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.123806893825531},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0890060417000518","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060417000518","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W251578582","https://openalex.org/W590423790","https://openalex.org/W1481376396","https://openalex.org/W1499399937","https://openalex.org/W1972250780","https://openalex.org/W1972437757","https://openalex.org/W1978191234","https://openalex.org/W1987222604","https://openalex.org/W1990517717","https://openalex.org/W1994467461","https://openalex.org/W1995226501","https://openalex.org/W1996118088","https://openalex.org/W1997057047","https://openalex.org/W2008647863","https://openalex.org/W2023420345","https://openalex.org/W2025031481","https://openalex.org/W2029145405","https://openalex.org/W2037764492","https://openalex.org/W2040745932","https://openalex.org/W2044045231","https://openalex.org/W2046090660","https://openalex.org/W2047602380","https://openalex.org/W2060118705","https://openalex.org/W2060304859","https://openalex.org/W2062431257","https://openalex.org/W2065375512","https://openalex.org/W2077341607","https://openalex.org/W2078620321","https://openalex.org/W2079810998","https://openalex.org/W2088450371","https://openalex.org/W2092150674","https://openalex.org/W2106595237","https://openalex.org/W2110757617","https://openalex.org/W2164141749","https://openalex.org/W2572421041","https://openalex.org/W6646868540","https://openalex.org/W6684175200"],"related_works":["https://openalex.org/W2034551444","https://openalex.org/W2023416609","https://openalex.org/W1844640764","https://openalex.org/W2051216975","https://openalex.org/W2982550593","https://openalex.org/W2144077772","https://openalex.org/W2978573861","https://openalex.org/W926742521","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Abstract":[0],"This":[1,33,80],"paper":[2],"presents":[3],"a":[4,14,21,67,73,85,125,153],"novel":[5],"approach":[6,34],"to":[7,25,49,65,94,118,151,156,182],"sensor-based":[8,58],"feature":[9],"evaluation":[10],"and":[11,17,72,111,131],"selection":[12],"using":[13],"self-organizing":[15],"map":[16],"spatial":[18,47],"statistics":[19,48],"as":[20],"combined":[22,45,176],"technique":[23,177],"applied":[24],"tool":[26,70,161],"condition":[27,108],"monitoring":[28,192],"of":[29,37,41,55,63,69,76,114,128,144,159,187,196],"the":[30,38,53,56,129,145,157,174,185,194],"turning":[31],"process.":[32],"takes":[35],"advantage":[36,113],"unique":[39],"features":[40,90,103,148,189],"unsupervised":[42],"neural":[43,115],"networks":[44,116],"with":[46],"perform":[50,119],"analyses":[51],"into":[52],"contributions":[54],"different":[57,188],"features,":[59],"carrying":[60],"large":[61],"quantities":[62],"noise,":[64],"achieve":[66],"classification":[68,158,167],"wear":[71],"quantitative":[74],"measure":[75],"each":[77,134],"feature's":[78,135],"suitability.":[79],"method":[81],"does":[82],"not":[83],"assume":[84,98],"prior":[86,126],"direct":[87],"correlation":[88],"between":[89],"avoiding":[91],"misconstructions":[92],"inherent":[93],"common":[95],"approaches":[96],"that":[97,99,142,173],"only":[100],"obviously":[101],"correlated":[102],"should":[104],"be":[105,179],"considered":[106],"for":[107],"monitoring.":[109],"Instead,":[110],"taking":[112],"ability":[117],"non-linear":[120],"modeling,":[121],"it":[122,170],"has":[123],"allowed":[124],"modeling":[127],"process":[130],"then":[132],"analyzed":[133],"contribution":[136,155,186],"toward":[137,190],"classification.":[138],"It":[139],"was":[140],"found":[141],"some":[143],"commonly":[146],"used":[147,180],"have":[149,152],"proven":[150],"significant":[154],"cutting":[160],"wear,":[162],"whereas":[163],"others":[164],"adversely":[165],"affect":[166],"performance.":[168],"Further,":[169],"is":[171],"demonstrated":[172],"proposed":[175],"can":[178],"extensively":[181],"quantitatively":[183],"evaluate":[184],"system":[191],"in":[193],"presence":[195],"noisy":[197],"data.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}