{"id":"https://openalex.org/W4414080283","doi":"https://doi.org/10.1109/access.2025.3607444","title":"Trend-Fluctuation Correlated Attention Unit for Remaining Useful Life Prediction","display_name":"Trend-Fluctuation Correlated Attention Unit for Remaining Useful Life Prediction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414080283","doi":"https://doi.org/10.1109/access.2025.3607444"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3607444","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3607444","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.2025.3607444","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011132246","display_name":"Hanbyeol Park","orcid":"https://orcid.org/0009-0003-0919-5764"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hanbyeol Park","raw_affiliation_strings":["Department of Industrial Engineering, Pusan National University, Busan, Republic of Korea","Department of Industrial Engineering, Pusan National University, Pusan, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0003-0919-5764","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Department of Industrial Engineering, Pusan National University, Pusan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119576076","display_name":"Sunghyun Sim","orcid":null},"institutions":[{"id":"https://openalex.org/I174101054","display_name":"Changwon National University","ror":"https://ror.org/04ts4qa58","country_code":"KR","type":"education","lineage":["https://openalex.org/I174101054"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunghyun Sim","raw_affiliation_strings":["Department of AI Convergence Engineering, Changwon National University, Changwon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Convergence Engineering, Changwon National University, Changwon, Republic of Korea","institution_ids":["https://openalex.org/I174101054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075531624","display_name":"Y. S. Park","orcid":null},"institutions":[{"id":"https://openalex.org/I206093572","display_name":"Nexen (Canada)","ror":"https://ror.org/04zwxgg32","country_code":"CA","type":"company","lineage":["https://openalex.org/I206093572"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yunkyung Park","raw_affiliation_strings":["Integrated Product Support Research and Development Team, LIG Nex1, Seoul, Republic of Korea","Integrated Product Support R&D Team, LIG Nex1, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrated Product Support Research and Development Team, LIG Nex1, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I206093572"]},{"raw_affiliation_string":"Integrated Product Support R&D Team, LIG Nex1, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I206093572"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047158713","display_name":"Hyerim Bae","orcid":"https://orcid.org/0000-0003-2602-5911"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyerim Bae","raw_affiliation_strings":["Department of Data Science, Graduate School of Data Science, Pusan National University, Busan, Republic of Korea","Department of Data Science, Graduate school of Data Science, Pusan National University, Pusan, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-2602-5911","affiliations":[{"raw_affiliation_string":"Department of Data Science, Graduate School of Data Science, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Department of Data Science, Graduate school of Data Science, Pusan National University, Pusan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4971,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65011129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"164486","last_page":"164507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.8492000102996826,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.8492000102996826,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.6518999934196472},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6277999877929688},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.47870001196861267},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.39899998903274536},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3903000056743622},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.37279999256134033},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.33250001072883606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233999967575073},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.6518999934196472},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6277999877929688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4959000051021576},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.47870001196861267},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3903000056743622},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3815000057220459},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3788999915122986},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2581999897956848}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3607444","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3607444","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:2932b709d30e4a98b061939d858bb06b","is_oa":true,"landing_page_url":"https://doaj.org/article/2932b709d30e4a98b061939d858bb06b","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 164486-164507 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3607444","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3607444","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/G1844580457","display_name":null,"funder_award_id":"KRIT-CT-22-081","funder_id":"https://openalex.org/F4320334874","funder_display_name":"Defense Acquisition Program Administration"},{"id":"https://openalex.org/G8665666392","display_name":null,"funder_award_id":"IITP-2025-RS-2020-II201791","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320334874","display_name":"Defense Acquisition Program Administration","ror":"https://ror.org/04bjg9m96"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2994902374","https://openalex.org/W3033580259","https://openalex.org/W3106684196","https://openalex.org/W3117204221","https://openalex.org/W3167907675","https://openalex.org/W3175938759","https://openalex.org/W3195338688","https://openalex.org/W4200230949","https://openalex.org/W4281713585","https://openalex.org/W4296704963","https://openalex.org/W4308067667","https://openalex.org/W4308150438","https://openalex.org/W4311764070","https://openalex.org/W4312761066","https://openalex.org/W4313480719","https://openalex.org/W4313546728","https://openalex.org/W4321770544","https://openalex.org/W4366484334","https://openalex.org/W4385152143","https://openalex.org/W4385763767","https://openalex.org/W4386160786","https://openalex.org/W4386926034","https://openalex.org/W4387068271","https://openalex.org/W4387182867","https://openalex.org/W4387453513","https://openalex.org/W4387978343","https://openalex.org/W4388378692","https://openalex.org/W4390770102","https://openalex.org/W4391097760","https://openalex.org/W4391640576","https://openalex.org/W4391755707","https://openalex.org/W4392908041","https://openalex.org/W4394985174","https://openalex.org/W4399383061","https://openalex.org/W4399709088","https://openalex.org/W4400026623","https://openalex.org/W4400617466","https://openalex.org/W4403417265","https://openalex.org/W4404458471"],"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":{"Health":[0],"indicators":[1],"(HIs)":[2],"are":[3],"measures":[4],"that":[5,37,100,153,187],"consolidate":[6],"complex":[7],"machinery":[8],"characteristics":[9,194],"into":[10],"a":[11,78,89,102,131,139,164,172],"single":[12],"dimension":[13],"and":[14,53,111,115,138,171,197,206],"have":[15,45],"been":[16],"extensively":[17],"studied":[18],"for":[19,119,203],"predicting":[20],"the":[21,69,94,126,135,143,156,168,178,188,192],"remaining":[22],"useful":[23],"life":[24],"(RUL).":[25],"Recent":[26],"research":[27],"has":[28],"proposed":[29],"HI-prediction":[30,71],"models":[31],"based":[32],"on":[33],"recursive":[34,70],"cell":[35,43,79,91],"structures":[36,44],"demonstrate":[38],"promising":[39],"performance.":[40],"However,":[41],"recent":[42],"limitations,":[46],"such":[47],"as":[48],"saturation":[49],"in":[50,68,113,167,177],"hidden":[51],"states":[52],"difficulty":[54],"learning":[55],"interdependent":[56,84,193],"patterns":[57],"among":[58],"various":[59],"components.":[60],"Accurate":[61],"RUL":[62],"predictions":[63],"require":[64],"minimizing":[65],"error":[66],"accumulation":[67],"process,":[72],"which":[73],"can":[74],"be":[75],"achieved":[76],"using":[77,130,149],"structure":[80,92],"capable":[81],"of":[82,125,174],"capturing":[83],"patterns.":[85],"This":[86],"study":[87,184],"proposes":[88],"new":[90],"termed":[93],"trend-fluctuation":[95],"correlated":[96],"attention":[97,117],"unit":[98],"(TFCAU)":[99],"employs":[101],"gate":[103],"mechanism":[104,118],"to":[105],"capture":[106],"interactions":[107],"between":[108,195],"divided":[109],"trends":[110,196],"fluctuations":[112],"HI":[114],"an":[116],"robust":[120],"long-term":[121],"predictions.":[122],"The":[123],"superiority":[124],"TFCAU":[127,154,189,199],"was":[128],"validated":[129],"bearing":[132],"dataset":[133,141],"from":[134,142],"PRONOSTIA":[136],"platform":[137],"real-world":[140],"Korean":[144],"weapons":[145],"system.":[146],"Comparative":[147],"experiments":[148],"six":[150],"sub-datasets":[151],"demonstrated":[152],"outperformed":[155],"state-of-the-art":[157],"model\u2014the":[158],"gated":[159],"transient":[160],"fluctuation":[161],"dual-attention":[162],"unit\u2014achieving":[163],"169.37%":[165],"improvement":[166],"score":[169],"metric":[170],"reduction":[173],"49.93":[175],"units":[176],"mean-absolute":[179],"error.":[180],"An":[181],"extensive":[182],"ablation":[183],"experimentally":[185],"confirmed":[186],"effectively":[190],"captured":[191],"fluctuations.":[198],"delivered":[200],"excellent":[201],"performance":[202],"both":[204],"rotating":[205],"non-rotating":[207],"systems,":[208],"suggesting":[209],"its":[210],"potential":[211],"applicability":[212],"across":[213],"multiple":[214],"operational":[215],"scenarios.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}