{"id":"https://openalex.org/W2884212008","doi":"https://doi.org/10.1109/tie.2018.2856193","title":"Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprecision Manufacturing","display_name":"Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprecision Manufacturing","publication_year":2018,"publication_date":"2018-07-26","ids":{"openalex":"https://openalex.org/W2884212008","doi":"https://doi.org/10.1109/tie.2018.2856193","mag":"2884212008"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2018.2856193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2018.2856193","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","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/A5072813633","display_name":"Chengming Shi","orcid":"https://orcid.org/0000-0002-6530-5695"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengming Shi","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6530-5695","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081468727","display_name":"George Panoutsos","orcid":"https://orcid.org/0000-0002-7395-8418"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"George Panoutsos","raw_affiliation_strings":["Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-7395-8418","affiliations":[{"raw_affiliation_string":"Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103202171","display_name":"Bo Luo","orcid":"https://orcid.org/0000-0002-2249-8263"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Luo","raw_affiliation_strings":["School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2249-8263","affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101677126","display_name":"Hongqi Liu","orcid":"https://orcid.org/0000-0001-5604-3470"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqi Liu","raw_affiliation_strings":["School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365225","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-8722-8934"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8722-8934","affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024718990","display_name":"Lin Xu","orcid":"https://orcid.org/0000-0001-6952-824X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Lin","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.8267,"has_fulltext":false,"cited_by_count":138,"citation_normalized_percentile":{"value":0.98503194,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"66","issue":"5","first_page":"3794","last_page":"3803"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9876000285148621,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9846000075340271,"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/machining","display_name":"Machining","score":0.7450485229492188},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6563349962234497},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6019036769866943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5526521801948547},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5398454070091248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5053175091743469},{"id":"https://openalex.org/keywords/tool-wear","display_name":"Tool wear","score":0.46956658363342285},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.458871990442276},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44464272260665894},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4356614053249359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3739950656890869},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3233796954154968},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.1706901490688324}],"concepts":[{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.7450485229492188},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6563349962234497},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6019036769866943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5526521801948547},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5398454070091248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5053175091743469},{"id":"https://openalex.org/C2776450708","wikidata":"https://www.wikidata.org/wiki/Q6008734","display_name":"Tool wear","level":3,"score":0.46956658363342285},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.458871990442276},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44464272260665894},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4356614053249359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3739950656890869},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3233796954154968},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1706901490688324},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tie.2018.2856193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2018.2856193","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:133032","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2438326644","display_name":null,"funder_award_id":"51625502.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2612356237","display_name":null,"funder_award_id":"51705174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W103487830","https://openalex.org/W1914402219","https://openalex.org/W1967879920","https://openalex.org/W2027595890","https://openalex.org/W2051691088","https://openalex.org/W2077202034","https://openalex.org/W2085862958","https://openalex.org/W2094939857","https://openalex.org/W2100495367","https://openalex.org/W2105447480","https://openalex.org/W2129513893","https://openalex.org/W2130325614","https://openalex.org/W2134502076","https://openalex.org/W2145094598","https://openalex.org/W2163922914","https://openalex.org/W2169611279","https://openalex.org/W2172174689","https://openalex.org/W2317595875","https://openalex.org/W2404692435","https://openalex.org/W2417638808","https://openalex.org/W2488250916","https://openalex.org/W2518796799","https://openalex.org/W2540989424","https://openalex.org/W2556491884","https://openalex.org/W2564938190","https://openalex.org/W2740570963","https://openalex.org/W2746111230","https://openalex.org/W2767234670","https://openalex.org/W2997574889","https://openalex.org/W6681096077"],"related_works":["https://openalex.org/W2803338891","https://openalex.org/W2043267898","https://openalex.org/W2112229447","https://openalex.org/W2036155574","https://openalex.org/W2063119839","https://openalex.org/W2053955898","https://openalex.org/W2975110486","https://openalex.org/W2355268135","https://openalex.org/W2352173300","https://openalex.org/W4319073490"],"abstract_inverted_index":{"Tool":[0],"condition":[1,65],"monitoring":[2,66],"is":[3,52,84,106,127,144],"critical":[4],"in":[5,8,35,67],"ultraprecision":[6,68,166],"manufacturing":[7,142],"order":[9],"to":[10,31,38,89,95,108,115,146],"optimize":[11],"the":[12,15,20,87,97,110,131,148,151,160,165],"performance":[13,149],"of":[14,58,75,150],"overall":[16],"process,":[17],"while":[18,174],"maintaining":[19],"desired":[21],"part":[22,40],"quality.":[23,41],"Recently,":[24],"deep":[25,47],"learning":[26,48,121],"has":[27],"been":[28],"successfully":[29,163],"applied":[30],"numerous":[32],"classification":[33,135],"tasks":[34],"manufacturing,":[36],"often":[37],"forecast":[39],"In":[42],"this":[43,120],"paper,":[44],"a":[45,56,80,101,123,140],"novel":[46],"data-driven":[49],"modeling":[50],"framework":[51,73],"presented,":[53],"which":[54],"includes":[55],"fusion":[57,103],"multiple":[59,91],"stacked":[60],"sparse":[61],"autoencoders":[62],"for":[63],"tool":[64,116],"machining.":[69],"The":[70],"proposed":[71,152,161],"computational":[72],"consists":[74],"two":[76],"main":[77],"structures.":[78],"First,":[79],"training":[81],"model":[82],"that":[83,105,129,159],"designed":[85],"with":[86,170],"ability":[88],"process":[90,143],"parallel":[92],"feature":[93,102,132],"spaces":[94],"learn":[96,109],"lower-level":[98],"features.":[99],"Second,":[100],"structure":[104],"used":[107,145],"higher-level":[111],"features":[112],"and":[113,134,156],"associations":[114],"wear.":[117],"To":[118],"achieve":[119],"structure,":[122],"modified":[124],"loss":[125],"function":[126],"utilized":[128],"enhances":[130],"extraction":[133],"tasks.":[136],"A":[137],"dataset":[138],"from":[139],"real":[141],"demonstrate":[147],"framework.":[153],"Experimental":[154],"results":[155],"simulations":[157],"show":[158],"method":[162],"classifies":[164],"machining":[167],"case":[168],"study":[169],"over":[171],"96%":[172],"accuracy,":[173],"also":[175],"outperforming":[176],"comparable":[177],"methodologies.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}