{"id":"https://openalex.org/W4360605211","doi":"https://doi.org/10.1109/icaiic57133.2023.10066971","title":"Remaining Useful Life Prediction Using an Ensemble Learning-Based Network for a Belt Conveyor System","display_name":"Remaining Useful Life Prediction Using an Ensemble Learning-Based Network for a Belt Conveyor System","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4360605211","doi":"https://doi.org/10.1109/icaiic57133.2023.10066971"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic57133.2023.10066971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic57133.2023.10066971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-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/A5066676633","display_name":"Junhyung Jo","orcid":"https://orcid.org/0009-0003-7541-4363"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Junhyung Jo","raw_affiliation_strings":["Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang,South Korea","Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang,South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083608939","display_name":"Zeu Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zeu Kim","raw_affiliation_strings":["Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang,South Korea","Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang,South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033502618","display_name":"Young-Joo Suh","orcid":"https://orcid.org/0000-0001-7208-1709"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Joo Suh","raw_affiliation_strings":["Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang,South Korea","Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang,South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Graduate School of Artificial Intelligence Pohang University of Science and Technology Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066676633"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":0.2663,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47199684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"863","last_page":"867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13341","display_name":"Belt Conveyor Systems Engineering","score":0.9995999932289124,"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/T13341","display_name":"Belt Conveyor Systems Engineering","score":0.9995999932289124,"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":0.9980999827384949,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9940999746322632,"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/prognostics","display_name":"Prognostics","score":0.7333662509918213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6022208333015442},{"id":"https://openalex.org/keywords/conveyor-belt","display_name":"Conveyor belt","score":0.5964597463607788},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5490281581878662},{"id":"https://openalex.org/keywords/pulley","display_name":"Pulley","score":0.5444453954696655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47814619541168213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44427138566970825},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4264974594116211},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3445799946784973},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3360411822795868},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22269156575202942}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.7333662509918213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6022208333015442},{"id":"https://openalex.org/C2777709985","wikidata":"https://www.wikidata.org/wiki/Q770135","display_name":"Conveyor belt","level":2,"score":0.5964597463607788},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5490281581878662},{"id":"https://openalex.org/C171937826","wikidata":"https://www.wikidata.org/wiki/Q48378","display_name":"Pulley","level":2,"score":0.5444453954696655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47814619541168213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44427138566970825},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4264974594116211},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3445799946784973},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3360411822795868},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22269156575202942},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic57133.2023.10066971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic57133.2023.10066971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2191779130","https://openalex.org/W2295598076","https://openalex.org/W2544905596","https://openalex.org/W2773549135","https://openalex.org/W2790625295","https://openalex.org/W2949676527","https://openalex.org/W2964022491","https://openalex.org/W3042756942","https://openalex.org/W3113082919","https://openalex.org/W3190152617","https://openalex.org/W3199148273","https://openalex.org/W4249798167","https://openalex.org/W6736412012","https://openalex.org/W6750729320","https://openalex.org/W6788705105"],"related_works":["https://openalex.org/W4292969247","https://openalex.org/W4313488044","https://openalex.org/W4293069612","https://openalex.org/W3151529617","https://openalex.org/W4375930479","https://openalex.org/W2783038087","https://openalex.org/W3014666486","https://openalex.org/W2954428433","https://openalex.org/W4220785415","https://openalex.org/W4360605211"],"abstract_inverted_index":{"The":[0,104,121,142],"belt":[1,31,101,163],"conveyor":[2,32,102,164],"system":[3,33,46,55,69],"is":[4,14,34,47,56,110,123],"widely":[5],"used":[6,22,144],"in":[7,23,52],"production":[8],"and":[9,19,73,118,130],"distribution":[10],"industries":[11],"because":[12],"it":[13],"more":[15],"cost-effective":[16],"than":[17,133],"manpower":[18],"can":[20,70],"be":[21,71],"a":[24,84,96,113,126,154,162],"variety":[25],"of":[26,29,42,44,92,99,112,128],"ways.":[27],"Prognostics":[28],"the":[30,35,45,54,62,67,88,93,100,138,147],"main":[36],"activity":[37],"to":[38,60,108,136,145,161],"maintain":[39],"efficiency.":[40],"Lack":[41],"performance":[43,64],"most":[48],"often":[49],"an":[50,158],"error":[51],"which":[53,65],"no":[57],"longer":[58],"available":[59],"meet":[61],"desired":[63],"arises":[66],"entire":[68],"damaged":[72],"fatal":[74],"industrial":[75],"accidents":[76],"may":[77],"occur.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"present":[83],"model":[85,107,117,122,148],"that":[86],"predicts":[87],"remaining":[89,139],"useful":[90,140],"life":[91],"head":[94],"pulley,":[95],"key":[97],"part":[98],"system.":[103,165],"ensemble":[105],"learning-based":[106,115],"predict":[109,137],"composed":[111],"deep":[114],"representation":[116],"boosting":[119],"model.":[120],"trained":[124],"using":[125],"combination":[127],"classification":[129],"regression":[131,135],"rather":[132],"simple":[134],"life.":[141],"data":[143],"train":[146],"was":[149],"collected":[150],"by":[151],"directly":[152],"building":[153],"test":[155],"bed":[156],"with":[157],"environment":[159],"similar":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}