{"id":"https://openalex.org/W4408734912","doi":"https://doi.org/10.1093/jcde/qwaf035","title":"A novel and interpretable approach to data augmentation for enhanced prediction of cutting tool remaining useful life","display_name":"A novel and interpretable approach to data augmentation for enhanced prediction of cutting tool remaining useful life","publication_year":2025,"publication_date":"2025-03-20","ids":{"openalex":"https://openalex.org/W4408734912","doi":"https://doi.org/10.1093/jcde/qwaf035"},"language":"en","primary_location":{"id":"doi:10.1093/jcde/qwaf035","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwaf035","pdf_url":"https://academic.oup.com/jcde/advance-article-pdf/doi/10.1093/jcde/qwaf035/62495581/qwaf035.pdf","source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://academic.oup.com/jcde/advance-article-pdf/doi/10.1093/jcde/qwaf035/62495581/qwaf035.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100357746","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0002-3634-0854"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020517620","display_name":"Jianan Wei","orcid":"https://orcid.org/0000-0001-7232-1434"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianan Wei","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000706566","display_name":"Haisong Huang","orcid":"https://orcid.org/0000-0002-3750-6537"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haisong Huang","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,"],"raw_orcid":"https://orcid.org/0000-0002-3750-6537","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047306630","display_name":"Yage Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yage Yuan","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377450","display_name":"Jiaxin Wang","orcid":"https://orcid.org/0000-0003-4448-0520"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Wang","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053869162","display_name":"Hualin Chen","orcid":"https://orcid.org/0000-0001-8984-3159"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hualin Chen","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University , Guiyang, Guizhou 550025 ,","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020517620"],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":{"value":1650,"currency":"USD","value_usd":1650},"apc_paid":{"value":1650,"currency":"USD","value_usd":1650},"fwci":1.4779,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78292234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"12","issue":"4","first_page":"121","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9839000105857849,"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":0.9839000105857849,"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/T12482","display_name":"Tunneling and Rock Mechanics","score":0.9354000091552734,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9247999787330627,"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":0.48051461577415466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4440644383430481},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3703228235244751},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35436806082725525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48051461577415466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4440644383430481},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3703228235244751},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35436806082725525}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/jcde/qwaf035","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwaf035","pdf_url":"https://academic.oup.com/jcde/advance-article-pdf/doi/10.1093/jcde/qwaf035/62495581/qwaf035.pdf","source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1093/jcde/qwaf035","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwaf035","pdf_url":"https://academic.oup.com/jcde/advance-article-pdf/doi/10.1093/jcde/qwaf035/62495581/qwaf035.pdf","source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321927","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408734912.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1556550707","https://openalex.org/W2072006659","https://openalex.org/W2087240369","https://openalex.org/W2106315426","https://openalex.org/W2110787940","https://openalex.org/W2118864053","https://openalex.org/W2132984323","https://openalex.org/W2148143831","https://openalex.org/W2163901928","https://openalex.org/W2511002675","https://openalex.org/W2555677408","https://openalex.org/W2744067593","https://openalex.org/W2767346351","https://openalex.org/W2800788706","https://openalex.org/W2910482310","https://openalex.org/W2945413072","https://openalex.org/W2962949934","https://openalex.org/W2997308049","https://openalex.org/W3021048621","https://openalex.org/W3022206528","https://openalex.org/W3028715102","https://openalex.org/W3033580259","https://openalex.org/W3034578890","https://openalex.org/W3107050463","https://openalex.org/W3112362363","https://openalex.org/W3130059885","https://openalex.org/W3158788987","https://openalex.org/W3161917984","https://openalex.org/W3166292820","https://openalex.org/W3166879689","https://openalex.org/W3171754517","https://openalex.org/W3182722823","https://openalex.org/W3187947697","https://openalex.org/W3200714177","https://openalex.org/W3203050329","https://openalex.org/W3204224526","https://openalex.org/W3206585023","https://openalex.org/W3207672850","https://openalex.org/W4220810436","https://openalex.org/W4225470055","https://openalex.org/W4283074491","https://openalex.org/W4283379086","https://openalex.org/W4286715849","https://openalex.org/W4317436033","https://openalex.org/W4372082082","https://openalex.org/W4389268071","https://openalex.org/W4392407147","https://openalex.org/W4401448573","https://openalex.org/W4401810462","https://openalex.org/W4403154257","https://openalex.org/W4403965434","https://openalex.org/W6846716155"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Abstract":[0],"The":[1,153,178],"prediction":[2,67,147,204],"of":[3,17,44,115,129,157],"tool":[4,26,169,175],"remaining":[5],"useful":[6],"life":[7],"(RUL)":[8],"is":[9,71],"crucial":[10],"for":[11,50,106,202],"ensuring":[12],"the":[13,42,86,99,110,127,130,143,158,166,192],"quality":[14],"and":[15,32,46,61,112,119,155,171,190],"reliability":[16],"components":[18],"in":[19,23,142,205],"high-end":[20,206],"equipment.":[21,207],"However,":[22],"practical":[24],"applications,":[25],"wear":[27,151],"data":[28,63,107],"are":[29,161],"typically":[30],"sparse":[31],"exhibits":[33],"irregular":[34],"time-series":[35,87],"patterns,":[36],"which":[37,83],"pose":[38],"significant":[39],"challenges":[40],"to":[41,125,146,184],"development":[43],"accurate":[45],"reliable":[47],"predictive":[48],"models":[49],"RUL.":[51],"To":[52],"address":[53],"these":[54],"challenges,":[55],"this":[56],"paper":[57],"presents":[58],"a":[59,72,77,172],"novel":[60],"interpretable":[62,100],"augmentation":[64],"collaborative":[65],"regression":[66,74,88],"model":[68,195],"(DL-SVRs).":[69],"DL-SVRs":[70,97,134,194],"deep":[73],"framework":[75],"with":[76,137],"three-layer":[78],"Support":[79,116,138],"Vector":[80,117,139],"Machine":[81],"structure,":[82],"innovatively":[84],"transforms":[85],"problem":[89],"into":[90],"an":[91,121],"imbalanced":[92],"multi-class":[93],"classification":[94],"problem.":[95],"Specifically,":[96],"employs":[98],"Improved":[101],"Sample-Characteristic":[102],"Oversampling":[103],"Technique":[104],"(ISCOTE)":[105],"augmentation,":[108],"using":[109],"first":[111],"second":[113],"layers":[114],"Classifiers,":[118],"incorporates":[120],"adaptive":[122],"scaling":[123],"factor":[124],"adjust":[126],"amount":[128],"augmented":[131],"data.":[132],"Subsequently,":[133],"integrates":[135],"ISCOTE":[136],"Regressors":[140],"(SVRs)":[141],"third":[144],"layer":[145],"RUL":[148,203],"by":[149],"monitoring":[150],"values.":[152],"effectiveness":[154],"superiority":[156],"proposed":[159,193],"method":[160],"validated":[162],"through":[163],"experiments":[164],"on":[165],"PHM2010":[167],"milling":[168],"dataset":[170,176],"self-collected":[173],"turning":[174],"TTWD.":[177],"experimental":[179],"results":[180],"demonstrate":[181],"that,":[182],"compared":[183],"renowned":[185],"algorithms":[186],"such":[187],"as":[188],"SMOTE":[189],"MWMOTE,":[191],"offers":[196],"distinct":[197],"advantages,":[198],"providing":[199],"valuable":[200],"insights":[201]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}