{"id":"https://openalex.org/W2805185555","doi":"https://doi.org/10.1109/tr.2018.2831256","title":"A Hybrid Approach to Cutting Tool Remaining Useful Life Prediction Based on the Wiener Process","display_name":"A Hybrid Approach to Cutting Tool Remaining Useful Life Prediction Based on the Wiener Process","publication_year":2018,"publication_date":"2018-06-08","ids":{"openalex":"https://openalex.org/W2805185555","doi":"https://doi.org/10.1109/tr.2018.2831256","mag":"2805185555"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2018.2831256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2018.2831256","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","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/A5076475919","display_name":"Huibin Sun","orcid":"https://orcid.org/0000-0002-6767-1912"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huibin Sun","raw_affiliation_strings":["Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6767-1912","affiliations":[{"raw_affiliation_string":"Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035846275","display_name":"Dali Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dali Cao","raw_affiliation_strings":["Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012495658","display_name":"Zidong Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zidong Zhao","raw_affiliation_strings":["Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333949","display_name":"Xia Kang","orcid":"https://orcid.org/0000-0002-5172-2105"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Kang","raw_affiliation_strings":["Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076475919"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":7.347,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.97967488,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"67","issue":"3","first_page":"1294","last_page":"1303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9876999855041504,"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":0.9876999855041504,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.7817773818969727},{"id":"https://openalex.org/keywords/tool-wear","display_name":"Tool wear","score":0.638292670249939},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6037369966506958},{"id":"https://openalex.org/keywords/machine-tool","display_name":"Machine tool","score":0.559036135673523},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.5553268790245056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5293432474136353},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5258634090423584},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4672899842262268},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4612054228782654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44483113288879395},{"id":"https://openalex.org/keywords/cutting-tool","display_name":"Cutting tool","score":0.4446568489074707},{"id":"https://openalex.org/keywords/experimental-data","display_name":"Experimental data","score":0.42304831743240356},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.41669952869415283},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37009957432746887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25300952792167664},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.16473421454429626}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.7817773818969727},{"id":"https://openalex.org/C2776450708","wikidata":"https://www.wikidata.org/wiki/Q6008734","display_name":"Tool wear","level":3,"score":0.638292670249939},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6037369966506958},{"id":"https://openalex.org/C5941749","wikidata":"https://www.wikidata.org/wiki/Q19768","display_name":"Machine tool","level":2,"score":0.559036135673523},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.5553268790245056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5293432474136353},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5258634090423584},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4672899842262268},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4612054228782654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44483113288879395},{"id":"https://openalex.org/C2780383046","wikidata":"https://www.wikidata.org/wiki/Q1760958","display_name":"Cutting tool","level":2,"score":0.4446568489074707},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.42304831743240356},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.41669952869415283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37009957432746887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25300952792167664},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.16473421454429626},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2018.2831256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2018.2831256","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G2248293730","display_name":null,"funder_award_id":"50805122","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W65478050","https://openalex.org/W397076878","https://openalex.org/W1489395974","https://openalex.org/W1524534559","https://openalex.org/W1578870273","https://openalex.org/W1972722939","https://openalex.org/W1975514583","https://openalex.org/W1981460882","https://openalex.org/W2012500676","https://openalex.org/W2022131151","https://openalex.org/W2023259442","https://openalex.org/W2033756468","https://openalex.org/W2035533729","https://openalex.org/W2037471194","https://openalex.org/W2038546740","https://openalex.org/W2055873761","https://openalex.org/W2059220339","https://openalex.org/W2066166840","https://openalex.org/W2067547344","https://openalex.org/W2077469820","https://openalex.org/W2089305186","https://openalex.org/W2104600154","https://openalex.org/W2146369053","https://openalex.org/W2155832827","https://openalex.org/W2198122198","https://openalex.org/W2337713278","https://openalex.org/W2463813940","https://openalex.org/W2466381485","https://openalex.org/W2557776107","https://openalex.org/W2584531144","https://openalex.org/W4231906586","https://openalex.org/W4285719527","https://openalex.org/W6631239035","https://openalex.org/W6719030887","https://openalex.org/W6730380351"],"related_works":["https://openalex.org/W4387780505","https://openalex.org/W320636113","https://openalex.org/W3033758418","https://openalex.org/W4248513934","https://openalex.org/W2938021361","https://openalex.org/W2793547884","https://openalex.org/W4391033829","https://openalex.org/W2611666546","https://openalex.org/W2361804218","https://openalex.org/W2307884006"],"abstract_inverted_index":{"Accurate":[0],"remaining":[1,30,56,119,134],"useful":[2,31,57,120,135],"life":[3,58],"prediction":[4,37,59],"is":[5,61],"meaningful":[6],"for":[7],"cutting":[8,28,54,84,110,117,132],"tool":[9,29,55,85,111,118,133],"usability":[10],"evaluation.":[11],"Over":[12],"the":[13,80,99,102,105,125,143],"years,":[14],"experience-based":[15],"models,":[16,18],"data-driven":[17,66,81],"and":[19,68,76,93,129],"physics-based":[20,70,106],"models":[21,41],"have":[22],"been":[23],"used":[24],"individually":[25],"to":[26,35,45,115],"predict":[27,116],"lives.":[32,121],"In":[33,49],"order":[34],"improve":[36],"performances,":[38],"different":[39],"prognostics":[40],"can":[42,137],"be":[43,138],"combined":[44],"leverage":[46],"their":[47],"advantages.":[48],"this":[50],"paper,":[51],"a":[52,65,69,109],"hybrid":[53],"approach":[60],"proposed":[62],"by":[63],"combining":[64],"model":[67,82,107,114],"model.":[71],"By":[72],"using":[73],"force,":[74],"vibration":[75],"acoustic":[77],"emission":[78],"signals,":[79],"monitors":[83],"wear":[86],"conditions":[87],"based":[88],"on":[89],"empirical":[90],"mode":[91],"decomposition":[92],"back":[94],"propagation":[95],"neural":[96],"network.":[97],"On":[98],"basis":[100],"of":[101],"Wiener":[103],"process,":[104],"builds":[108],"condition":[112],"degradation":[113],"Experimental":[122],"study":[123],"verifies":[124],"approach's":[126],"effectiveness,":[127],"accuracy,":[128],"robustness.":[130],"Then,":[131],"lives":[136],"predicted":[139],"more":[140],"accurately":[141],"during":[142],"machining":[144],"process.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
