{"id":"https://openalex.org/W7125933837","doi":"https://doi.org/10.1109/smc58881.2025.11342629","title":"Toward Chiller Condenser Fouling Factor Prediction using Spiking EdgeAI","display_name":"Toward Chiller Condenser Fouling Factor Prediction using Spiking EdgeAI","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125933837","doi":"https://doi.org/10.1109/smc58881.2025.11342629"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11342629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5050129780","display_name":"Alejandro Linares-Barranco","orcid":"https://orcid.org/0000-0002-6056-740X"},"institutions":[{"id":"https://openalex.org/I4210148383","display_name":"IVI Sevilla Clinic","ror":"https://ror.org/04bxnbd97","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210148383"]},{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"A. Linares-Barranco","raw_affiliation_strings":["University of Sevilla,Robotics and Computer&#x2019;s Tech Lab. SCORE. ETSII-EPS,Sevilla,Spain"],"affiliations":[{"raw_affiliation_string":"University of Sevilla,Robotics and Computer&#x2019;s Tech Lab. SCORE. ETSII-EPS,Sevilla,Spain","institution_ids":["https://openalex.org/I79238269","https://openalex.org/I4210148383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124113875","display_name":"M. \u00c1vila-Guti\u00e9rrez","orcid":null},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. \u00c1vila-Guti\u00e9rrez","raw_affiliation_strings":["Universidad de Sevilla,EPS-ETSI,Departamento de Ingenier&#x00ED;a Energ&#x00E9;tica,Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Sevilla,EPS-ETSI,Departamento de Ingenier&#x00ED;a Energ&#x00E9;tica,Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124106599","display_name":"A. P\u00e9rez-Pe\u00f1a","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148383","display_name":"IVI Sevilla Clinic","ror":"https://ror.org/04bxnbd97","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210148383"]},{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A. P\u00e9rez-Pe\u00f1a","raw_affiliation_strings":["University of Sevilla,Robotics and Computer&#x2019;s Tech Lab. SCORE. ETSII-EPS,Sevilla,Spain"],"affiliations":[{"raw_affiliation_string":"University of Sevilla,Robotics and Computer&#x2019;s Tech Lab. SCORE. ETSII-EPS,Sevilla,Spain","institution_ids":["https://openalex.org/I79238269","https://openalex.org/I4210148383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124141029","display_name":"J.M. Montes-Sanchez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148383","display_name":"IVI Sevilla Clinic","ror":"https://ror.org/04bxnbd97","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210148383"]},{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J.M. Montes-Sanchez","raw_affiliation_strings":["University of Sevilla,Robotics and Computer&#x2019;s Tech Lab. SCORE. ETSII-EPS,Sevilla,Spain"],"affiliations":[{"raw_affiliation_string":"University of Sevilla,Robotics and Computer&#x2019;s Tech Lab. SCORE. ETSII-EPS,Sevilla,Spain","institution_ids":["https://openalex.org/I79238269","https://openalex.org/I4210148383"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124118926","display_name":"J.M. Salmer\u00f3n-Lissen","orcid":null},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J.M. Salmer\u00f3n-Lissen","raw_affiliation_strings":["Universidad de Sevilla,EPS-ETSI,Departamento de Ingenier&#x00ED;a Energ&#x00E9;tica,Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Sevilla,EPS-ETSI,Departamento de Ingenier&#x00ED;a Energ&#x00E9;tica,Spain","institution_ids":["https://openalex.org/I79238269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050129780"],"corresponding_institution_ids":["https://openalex.org/I4210148383","https://openalex.org/I79238269"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63701236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3578","last_page":"3584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.3578000068664551,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.3578000068664551,"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"}},{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.1340000033378601,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.04830000177025795,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/condenser","display_name":"Condenser (optics)","score":0.7631999850273132},{"id":"https://openalex.org/keywords/fouling","display_name":"Fouling","score":0.45239999890327454},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44999998807907104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4262999892234802},{"id":"https://openalex.org/keywords/chiller","display_name":"Chiller","score":0.41019999980926514},{"id":"https://openalex.org/keywords/water-chiller","display_name":"Water chiller","score":0.36399999260902405},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.34360000491142273}],"concepts":[{"id":"https://openalex.org/C2780934509","wikidata":"https://www.wikidata.org/wiki/Q571589","display_name":"Condenser (optics)","level":3,"score":0.7631999850273132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4934999942779541},{"id":"https://openalex.org/C115792997","wikidata":"https://www.wikidata.org/wiki/Q1439803","display_name":"Fouling","level":3,"score":0.45239999890327454},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44999998807907104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C4638862","wikidata":"https://www.wikidata.org/wiki/Q1501558","display_name":"Chiller","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4000999927520752},{"id":"https://openalex.org/C182254935","wikidata":"https://www.wikidata.org/wiki/Q1722733","display_name":"Water chiller","level":4,"score":0.36399999260902405},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3402999937534332},{"id":"https://openalex.org/C7694927","wikidata":"https://www.wikidata.org/wiki/Q7667810","display_name":"Water cooling","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2996000051498413},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.2946000099182129},{"id":"https://openalex.org/C146778888","wikidata":"https://www.wikidata.org/wiki/Q836862","display_name":"Installation","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C24463637","wikidata":"https://www.wikidata.org/wiki/Q5099037","display_name":"Chiller boiler system","level":5,"score":0.27790001034736633},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.2773999869823456},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2605000138282776},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11342629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5454148054122925,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1596787301","https://openalex.org/W1599105596","https://openalex.org/W2138913040","https://openalex.org/W2783525259","https://openalex.org/W2809808428","https://openalex.org/W2919115771","https://openalex.org/W3042879788","https://openalex.org/W3184995952","https://openalex.org/W4210725851","https://openalex.org/W4220741568","https://openalex.org/W4309905345","https://openalex.org/W4394894051","https://openalex.org/W4404411551","https://openalex.org/W4406894830","https://openalex.org/W6910546390"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1,158],"study,":[2],"a":[3,17,29,32,41,96],"recurrent":[4,85],"spiking":[5],"neural":[6],"network":[7],"(RSNN)":[8],"has":[9],"been":[10],"implemented":[11],"on":[12,16,61,162],"an":[13,73,79],"accelerator":[14,155],"deployed":[15],"reconfigurable":[18],"circuit":[19],"(FPGA)":[20],"to":[21,132,144],"predict":[22],"the":[23,70,88,107,153,163],"Condenser":[24],"Fouling":[25],"Factor":[26],"(CFF)":[27],"in":[28,69,87,124,157],"chiller":[30],"as":[31],"predictive":[33],"maintenance":[34],"(PdM)":[35],"measure.":[36],"This":[37],"system":[38],"operates":[39],"through":[40],"low-power":[42],"device":[43],"utilising":[44],"edge":[45],"computing,":[46],"geared":[47],"towards":[48],"AIoT/EdgeAI":[49],"applications.":[50],"It":[51],"can":[52],"accurately":[53],"identify":[54],"CFF":[55],"levels":[56],"that":[57,99],"exceed":[58],"25%":[59],"based":[60],"several":[62],"pressure":[63],"and":[64,84,137],"temperature":[65],"sensor":[66,101],"data":[67],"distributed":[68],"chiller,":[71],"achieving":[72],"accuracy":[74],"greater":[75],"than":[76],"90%":[77],"with":[78],"architecture":[80],"of":[81,119],"256":[82],"parallel":[83],"neurons":[86],"hidden":[89],"layer.":[90],"The":[91,116,150],"model":[92],"was":[93,109],"trained":[94],"using":[95],"proprietary":[97],"dataset":[98],"recorded":[100],"states":[102],"during":[103],"controlled":[104],"experiments":[105],"where":[106],"condenser":[108],"manually":[110],"obstructed":[111],"at":[112],"varying":[113],"coverage":[114],"percentages.":[115],"primary":[117],"advantage":[118],"employing":[120],"RSNN":[121],"techniques":[122],"lies":[123],"their":[125,139],"dual":[126],"capability:":[127],"first,":[128],"they":[129],"are":[130],"designed":[131],"detect":[133],"temporal":[134],"signal":[135],"patterns,":[136],"second,":[138],"trainability":[140],"allows":[141],"for":[142,152],"adaptation":[143],"various":[145],"applications":[146],"across":[147],"different":[148],"contexts.":[149],"training":[151],"particular":[154],"used":[156],"work":[159],"is":[160],"done":[161],"FPGA,":[164],"not":[165],"requiring":[166],"power-hungry":[167],"machines.":[168]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}
