{"id":"https://openalex.org/W4411725559","doi":"https://doi.org/10.1109/access.2025.3583905","title":"Enhanced Helicopter Vibration Prediction With Hybrid Sampling and Cost Mining Techniques","display_name":"Enhanced Helicopter Vibration Prediction With Hybrid Sampling and Cost Mining Techniques","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411725559","doi":"https://doi.org/10.1109/access.2025.3583905"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3583905","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583905","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3583905","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086017753","display_name":"Jeonghun Kim","orcid":"https://orcid.org/0000-0002-5268-7129"},"institutions":[{"id":"https://openalex.org/I189442560","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64","country_code":"KR","type":"education","lineage":["https://openalex.org/I189442560"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jeonghun Kim","raw_affiliation_strings":["1Department of Management of Technology, Gyeongsang National University, Jinju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Department of Management of Technology, Gyeongsang National University, Jinju, South Korea","institution_ids":["https://openalex.org/I189442560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101887792","display_name":"Keunho Choi","orcid":"https://orcid.org/0009-0009-1343-2500"},"institutions":[{"id":"https://openalex.org/I145808223","display_name":"Hanbat National University","ror":"https://ror.org/00x514t95","country_code":"KR","type":"education","lineage":["https://openalex.org/I145808223"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Keunho Choi","raw_affiliation_strings":["2Department of Business Administration, Hanbat National University, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0009-0009-1343-2500","affiliations":[{"raw_affiliation_string":"2Department of Business Administration, Hanbat National University, Daejeon, South Korea","institution_ids":["https://openalex.org/I145808223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052576532","display_name":"Donghee Yoo","orcid":"https://orcid.org/0000-0002-4063-6586"},"institutions":[{"id":"https://openalex.org/I189442560","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64","country_code":"KR","type":"education","lineage":["https://openalex.org/I189442560"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghee Yoo","raw_affiliation_strings":["3Department of Management Information Systems, Business and Economics Research Institute, Gyeongsang National University, Jinju, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4063-6586","affiliations":[{"raw_affiliation_string":"3Department of Management Information Systems, Business and Economics Research Institute, Gyeongsang National University, Jinju, South Korea","institution_ids":["https://openalex.org/I189442560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086017753"],"corresponding_institution_ids":["https://openalex.org/I189442560"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8126,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72864388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"111832","last_page":"111846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9937999844551086,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9937999844551086,"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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9847999811172485,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6320047378540039},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5512833595275879},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.47784730792045593},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4094220995903015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34447920322418213},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.19699299335479736},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16728311777114868}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6320047378540039},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5512833595275879},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.47784730792045593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4094220995903015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34447920322418213},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.19699299335479736},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16728311777114868},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3583905","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583905","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:403afaf94c3549b29a53b852e907fd32","is_oa":true,"landing_page_url":"https://doaj.org/article/403afaf94c3549b29a53b852e907fd32","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 111832-111846 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3583905","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583905","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4872475910","display_name":null,"funder_award_id":"NRF-2024S1A5A2A01028748","funder_id":"https://openalex.org/F4320324070","funder_display_name":"Ministry of Education and Research, Romania"}],"funders":[{"id":"https://openalex.org/F4320324070","display_name":"Ministry of Education and Research, Romania","ror":"https://ror.org/00dh5gw98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1909217999","https://openalex.org/W2041432213","https://openalex.org/W2043686108","https://openalex.org/W2065756680","https://openalex.org/W3176826976","https://openalex.org/W4221125840","https://openalex.org/W4229013639","https://openalex.org/W4244278162","https://openalex.org/W4283795028","https://openalex.org/W4313017257","https://openalex.org/W4381885878","https://openalex.org/W4382050327","https://openalex.org/W4383047224","https://openalex.org/W4385232737","https://openalex.org/W4386836476","https://openalex.org/W4406415661","https://openalex.org/W6697106032","https://openalex.org/W6797839488"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Helicopter":[0],"vibrations":[1],"increase":[2],"pilot":[3],"workload":[4],"and":[5,8,12,21,65,69,73,76,99,129,146,230,237],"accelerate":[6],"fatigue":[7],"wear":[9],"in":[10,17,56,107,132,167,214,235],"structural":[11],"mechanical":[13],"components,":[14],"potentially":[15],"resulting":[16],"higher":[18],"maintenance":[19],"costs":[20],"reduced":[22,159],"operational":[23,115,198],"safety.":[24],"To":[25,49],"address":[26],"these":[27],"challenges,":[28],"this":[29,89],"study":[30,90,201],"develops":[31],"a":[32,45,92,222],"machine":[33],"learning-based":[34],"prediction":[35,87,133,153,217],"model":[36,172,182,224],"using":[37,141],"vibration":[38,216],"test":[39],"data":[40],"from":[41],"the":[42,51,57,121,138,151,170,204,208],"cockpit":[43],"of":[44,53,109,211],"Korean":[46],"utility":[47],"helicopter.":[48],"mitigate":[50],"issue":[52],"class":[54],"imbalance":[55],"dataset,":[58],"two":[59],"hybrid":[60,123,212],"sampling":[61,124,213],"techniques":[62,131],"are":[63,105],"proposed":[64,122],"analyzed:":[66],"first":[67,74],"oversampling":[68,78,128],"last":[70,77],"undersampling":[71,75,130],"(FOLU)":[72],"(FULO).":[79],"In":[80],"addition":[81],"to":[82,163,203],"conventional":[83],"evaluation":[84,225],"based":[85,187],"on":[86,189,194],"accuracy,":[88],"adopts":[91],"cost-aware":[93,223],"perspective":[94],"by":[95,206],"applying":[96],"both":[97],"cost-insensitive":[98,164,171],"cost-sensitive":[100,156],"learning":[101,157],"frameworks.":[102],"The":[103],"models":[104,140],"compared":[106,162],"terms":[108],"misclassification-related":[110],"cost":[111],"losses":[112,161],"under":[113],"realistic":[114],"conditions.":[116],"Experimental":[117],"results":[118],"confirm":[119],"that":[120,180],"methods":[125],"outperform":[126],"traditional":[127],"performance.":[134],"Among":[135],"all":[136],"configurations,":[137],"FULO-based":[139],"deep":[142],"neural":[143],"network":[144],"(DNN)":[145],"random":[147],"forest":[148],"(RF)":[149],"achieved":[150],"highest":[152],"accuracy.":[154],"Moreover,":[155],"generally":[158],"misclassification":[160],"learning;":[165],"however,":[166],"certain":[168],"cases,":[169],"yielded":[173],"lower":[174],"total":[175],"costs.":[176],"These":[177],"findings":[178],"indicate":[179],"predictive":[181],"selection":[183],"should":[184],"not":[185],"be":[186],"solely":[188],"accuracy":[190],"metrics,":[191],"but":[192],"also":[193],"economic":[195],"efficiency":[196],"within":[197],"contexts.":[199],"This":[200],"contributes":[202],"literature":[205],"demonstrating":[207],"practical":[209],"effectiveness":[210],"helicopter":[215],"as":[218,220],"well":[219],"introducing":[221],"framework":[226],"suitable":[227],"for":[228],"prognostics":[229],"health":[231],"management":[232],"(PHM)":[233],"applications":[234],"military":[236],"civilian":[238],"rotorcraft":[239],"operations.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}