{"id":"https://openalex.org/W4405264513","doi":"https://doi.org/10.1109/tii.2024.3498096","title":"Multiscale Temporal Convolutional Network-Based End-to-End Recognition of Drill-String Stick-Slip Vibration in Drilling Process","display_name":"Multiscale Temporal Convolutional Network-Based End-to-End Recognition of Drill-String Stick-Slip Vibration in Drilling Process","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4405264513","doi":"https://doi.org/10.1109/tii.2024.3498096"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3498096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3498096","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Informatics","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/A5030153852","display_name":"Xiao Liang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0008-3066-3629","affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042853971","display_name":"Xuzhi Lai","orcid":"https://orcid.org/0000-0002-5672-6762"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuzhi Lai","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5672-6762","affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091260655","display_name":"Jie Hu","orcid":"https://orcid.org/0000-0002-1725-6366"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1725-6366","affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090328003","display_name":"Chengda Lu","orcid":"https://orcid.org/0000-0002-9452-4053"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengda Lu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9452-4053","affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074710425","display_name":"Min Wu","orcid":"https://orcid.org/0000-0002-0668-8315"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":["School of Automation, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0668-8315","affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":1.3637,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80014966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"21","issue":"3","first_page":"2304","last_page":"2313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10892","display_name":"Drilling and Well Engineering","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9718999862670898,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.9614999890327454,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/drill-string","display_name":"Drill string","score":0.6935639381408691},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6422320008277893},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.6390198469161987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5751527547836304},{"id":"https://openalex.org/keywords/drilling","display_name":"Drilling","score":0.5149641633033752},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48645898699760437},{"id":"https://openalex.org/keywords/slip","display_name":"Slip (aerodynamics)","score":0.4567599892616272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40569591522216797},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3500444293022156},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32027798891067505},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2850838303565979},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.24099573493003845},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18205684423446655},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.09546953439712524}],"concepts":[{"id":"https://openalex.org/C2779402677","wikidata":"https://www.wikidata.org/wiki/Q1809613","display_name":"Drill string","level":3,"score":0.6935639381408691},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6422320008277893},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.6390198469161987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5751527547836304},{"id":"https://openalex.org/C25197100","wikidata":"https://www.wikidata.org/wiki/Q890886","display_name":"Drilling","level":2,"score":0.5149641633033752},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48645898699760437},{"id":"https://openalex.org/C195268267","wikidata":"https://www.wikidata.org/wiki/Q1928883","display_name":"Slip (aerodynamics)","level":2,"score":0.4567599892616272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40569591522216797},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3500444293022156},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32027798891067505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2850838303565979},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.24099573493003845},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18205684423446655},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.09546953439712524},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3498096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3498096","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G26576258","display_name":null,"funder_award_id":"B17040","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G4037114931","display_name":null,"funder_award_id":"62273317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7944675862","display_name":null,"funder_award_id":"62373332","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"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320328899","display_name":"China University of Geosciences","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2885756569","https://openalex.org/W2890023743","https://openalex.org/W2942140875","https://openalex.org/W2944456675","https://openalex.org/W2975906708","https://openalex.org/W2987665413","https://openalex.org/W3136648156","https://openalex.org/W3154188529","https://openalex.org/W3217125014","https://openalex.org/W4206545439","https://openalex.org/W4210450738","https://openalex.org/W4211089903","https://openalex.org/W4226157755","https://openalex.org/W4293731531","https://openalex.org/W4295983552","https://openalex.org/W4296771953","https://openalex.org/W4304688802","https://openalex.org/W4309769692","https://openalex.org/W4311772362","https://openalex.org/W4312431055","https://openalex.org/W4312445071","https://openalex.org/W4319767771","https://openalex.org/W4319998010","https://openalex.org/W4378801662","https://openalex.org/W4379380529","https://openalex.org/W4380359851","https://openalex.org/W4386474353","https://openalex.org/W4391795643","https://openalex.org/W4392432537","https://openalex.org/W4400052590","https://openalex.org/W6749825310","https://openalex.org/W6790452053"],"related_works":["https://openalex.org/W2151749779","https://openalex.org/W2621045454","https://openalex.org/W2148769086","https://openalex.org/W2152341865","https://openalex.org/W1993455652","https://openalex.org/W4391366470","https://openalex.org/W2380151091","https://openalex.org/W2960688860","https://openalex.org/W2350935910","https://openalex.org/W1990652584"],"abstract_inverted_index":{"Severe":[0],"drill-string":[1,153],"vibration":[2,14,48,80],"is":[3,56,68,99],"a":[4],"significant":[5],"source":[6],"of":[7,35,75,105,117,152],"drilling":[8,54],"problems.":[9],"Most":[10],"existing":[11,127],"methods":[12],"for":[13],"recognition":[15,49,91,133],"rely":[16],"on":[17,59,136],"downhole":[18],"data,":[19,77],"facing":[20],"great":[21],"limitations":[22],"in":[23,32,144],"practice.":[24],"In":[25],"addition,":[26],"complex":[27,86],"and":[28,125],"changeable":[29],"formations":[30],"result":[31,134],"limited":[33],"ability":[34],"single-scale":[36,137],"features":[37,61,74],"to":[38,70,83,85,101],"characterize":[39],"the":[40,79,93,115,132],"vibration.":[41,154],"To":[42,88],"resolve":[43],"these":[44],"issues,":[45],"an":[46],"end-to-end":[47],"model":[50],"using":[51],"only":[52],"surface":[53],"data":[55,112],"proposed":[57,118,147],"based":[58,135],"multiscale":[60,64,72,106],"extraction.":[62],"A":[63],"temporal":[65,73],"convolutional":[66],"network":[67,98],"developed":[69],"extract":[71],"multisensor":[76],"enhancing":[78],"representation":[81],"capability":[82],"adapt":[84],"formations.":[87],"further":[89],"improve":[90],"capability,":[92],"bidirectional":[94],"long":[95],"short-term":[96],"memory":[97],"utilized":[100],"obtain":[102],"contextual":[103],"linkage":[104],"features.":[107],"Experiments":[108],"conducted":[109],"with":[110,131],"field":[111],"have":[113],"verified":[114],"efficiency":[116],"method.":[119],"It":[120],"has":[121,140],"achieved":[122],"97%":[123],"accuracy,":[124],"outperforms":[126],"methods.":[128],"Furthermore,":[129],"compared":[130],"features,":[138],"it":[139],"improved":[141],"by":[142],"6%":[143],"accuracy.":[145],"The":[146],"method":[148],"provides":[149],"automated":[150],"diagnostics":[151]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}