{"id":"https://openalex.org/W4382994868","doi":"https://doi.org/10.1017/s0890060423000082","title":"Tool life prediction via SMB-enabled monitor based on BPNN coupling algorithms for sustainable manufacturing","display_name":"Tool life prediction via SMB-enabled monitor based on BPNN coupling algorithms for sustainable manufacturing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382994868","doi":"https://doi.org/10.1017/s0890060423000082"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060423000082","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5041739103","display_name":"Wen-Yang Chang","orcid":"https://orcid.org/0000-0002-2377-4127"},"institutions":[{"id":"https://openalex.org/I40689657","display_name":"National Formosa University","ror":"https://ror.org/00q523p52","country_code":"TW","type":"education","lineage":["https://openalex.org/I40689657"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wen-Yang Chang","raw_affiliation_strings":["Department of Mechanical and Computer-Aided Engineering, National Formosa University, No. 64, Wunhua Rd., Huwei Township, Yunlin County\u00a0632, Taiwan","Smart Machinery and Intelligent Manufacturing Research Center, National Formosa University, Yunlin\u00a0632, Taiwan"],"affiliations":[{"raw_affiliation_string":"Smart Machinery and Intelligent Manufacturing Research Center, National Formosa University, Yunlin\u00a0632, Taiwan","institution_ids":["https://openalex.org/I40689657"]},{"raw_affiliation_string":"Department of Mechanical and Computer-Aided Engineering, National Formosa University, No. 64, Wunhua Rd., Huwei Township, Yunlin County\u00a0632, Taiwan","institution_ids":["https://openalex.org/I40689657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026155706","display_name":"Bo-Yao Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I40689657","display_name":"National Formosa University","ror":"https://ror.org/00q523p52","country_code":"TW","type":"education","lineage":["https://openalex.org/I40689657"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo-Yao Hsu","raw_affiliation_strings":["Department of Power Mechanical Engineering, National Formosa University, Yunlin\u00a0632, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Power Mechanical Engineering, National Formosa University, Yunlin\u00a0632, Taiwan","institution_ids":["https://openalex.org/I40689657"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041739103"],"corresponding_institution_ids":["https://openalex.org/I40689657"],"apc_list":null,"apc_paid":null,"fwci":0.849,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.999971,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":84,"max":88},"biblio":{"volume":"37","issue":null,"first_page":null,"last_page":null},"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":0.9984,"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/T11301","display_name":"Advanced Surface Polishing Techniques","score":0.9794,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/mqtt","display_name":"MQTT","score":0.5127719},{"id":"https://openalex.org/keywords/machine-tool","display_name":"Machine tool","score":0.48781446}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.59645975},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5340138},{"id":"https://openalex.org/C132868160","wikidata":"https://www.wikidata.org/wiki/Q10322548","display_name":"MQTT","level":3,"score":0.5127719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5124615},{"id":"https://openalex.org/C2776450708","wikidata":"https://www.wikidata.org/wiki/Q6008734","display_name":"Tool wear","level":3,"score":0.49760106},{"id":"https://openalex.org/C5941749","wikidata":"https://www.wikidata.org/wiki/Q19768","display_name":"Machine tool","level":2,"score":0.48781446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45496637},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.41532815},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.34087634},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33045602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30646342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29458544},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.25069058},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.23278502},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.16893068},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1484442},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060423000082","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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.4,"id":"https://metadata.un.org/sdg/12"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":41,"referenced_works":["https://openalex.org/W1965902429","https://openalex.org/W1977315966","https://openalex.org/W2000759936","https://openalex.org/W2002244948","https://openalex.org/W2008365814","https://openalex.org/W2010717817","https://openalex.org/W2011537554","https://openalex.org/W2016236797","https://openalex.org/W2024782519","https://openalex.org/W2027646243","https://openalex.org/W2037471194","https://openalex.org/W2047870367","https://openalex.org/W2050948285","https://openalex.org/W2061746601","https://openalex.org/W2063310398","https://openalex.org/W2070171541","https://openalex.org/W2076901227","https://openalex.org/W2321274876","https://openalex.org/W2487352677","https://openalex.org/W2547841478","https://openalex.org/W2563877074","https://openalex.org/W2604122666","https://openalex.org/W262592118","https://openalex.org/W2754561084","https://openalex.org/W2810813609","https://openalex.org/W2911618368","https://openalex.org/W2943919793","https://openalex.org/W2950435568","https://openalex.org/W2970449294","https://openalex.org/W2997308049","https://openalex.org/W2997493799","https://openalex.org/W3008869636","https://openalex.org/W3010971936","https://openalex.org/W3014256073","https://openalex.org/W3084798171","https://openalex.org/W3090279272","https://openalex.org/W3119544534","https://openalex.org/W3147061871","https://openalex.org/W4244272836","https://openalex.org/W4301454655","https://openalex.org/W754002453"],"related_works":["https://openalex.org/W4379616043","https://openalex.org/W4296174532","https://openalex.org/W4295036342","https://openalex.org/W4285362218","https://openalex.org/W3201170624","https://openalex.org/W3188283133","https://openalex.org/W3096163214","https://openalex.org/W2985985298","https://openalex.org/W2967645615","https://openalex.org/W2054930900"],"abstract_inverted_index":{"Abstract":[0],"The":[1,105,179],"predictive":[2,214],"methods":[3],"of":[4,36,59,108,113,140,160,219,232],"tool":[5,65,143,221],"wear":[6],"are":[7,41,87,163,227],"usually":[8],"based":[9,187,228],"on":[10,188,229],"different":[11,14,18,64,132],"algorithm":[12],"predictors,":[13],"source":[15],"data,":[16],"and":[17,33,62,81,102,115,129,167,195,205],"sensing":[19],"devices":[20],"for":[21,48,100,216],"remaining":[22],"useful":[23],"life":[24,222],"(RUL).":[25],"In":[26,51,135],"general,":[27,136],"it":[28,123],"has":[29],"challenges":[30],"to":[31,53,94,165],"model":[32,107,175],"ensure":[34],"all":[35,86],"the":[37,44,55,70,74,82,96,109,126,131,137,141,153,157,161,169,173,184,189,192,196,200,202,206,217,220,230,233],"cutting":[38,46,110,121,133,142,170],"conditions":[39],"that":[40,212,226],"suitable":[42],"in":[43,89],"actual":[45],"process":[47],"sustainable":[49],"manufacturing.":[50,178],"order":[52],"overcome":[54],"doing":[56],"large":[57],"amount":[58],"experimental":[60,127],"data":[61],"predict":[63,130,168],"RULs,":[66],"this":[67],"study":[68],"combines":[69],"analytical":[71,106],"force":[72,111],"modeling,":[73],"back-propagation":[75],"neural":[76],"network":[77],"(BPNN)":[78],"machine":[79,91],"learning,":[80],"current":[83,139,235],"sensor":[84],"which":[85],"integrated":[88],"smart":[90],"box":[92],"(SMB)":[93],"realize":[95],"practical":[97],"RUL":[98],"prediction":[99],"on-line":[101],"real-time":[103],"applications.":[104],"coefficients":[112],"shear":[114],"ploughing":[116],"was":[117],"established":[118],"from":[119,144],"average":[120],"forces,":[122],"could":[124],"reduce":[125],"number":[128],"conditions.":[134],"loading":[138,158],"a":[145,213],"spindle":[146,162],"motor":[147],"is":[148,223],"relatively":[149],"easier":[150],"acquired":[151],"than":[152],"resultant":[154],"forces.":[155],"Thus,":[156],"currents":[159],"used":[164],"train":[166],"forces":[171],"using":[172],"BPNN":[174],"during":[176],"intelligent":[177],"SMB":[180],"architecture":[181],"mainly":[182],"performed":[183],"autonomous":[185],"actions":[186],"edge":[190],"layer,":[191,194],"fog":[193],"cloud":[197],"layer":[198],"via":[199],"TCP/IP,":[201],"MQTT":[203],"protocol,":[204],"unified":[207],"communication":[208],"library.":[209],"Results":[210],"showed":[211],"error":[215],"ends":[218],"about":[224],"3\u201310%":[225],"calculating":[231],"cumulative":[234],"ratio.":[236]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4382994868","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-01-06T07:29:44.479994","created_date":"2023-07-04"}