{"id":"https://openalex.org/W4387124027","doi":"https://doi.org/10.1109/case56687.2023.10260667","title":"An Experimental HVAC Faults Data Generation and Detection Using One-Dimensional Convolutional Neural Networks","display_name":"An Experimental HVAC Faults Data Generation and Detection Using One-Dimensional Convolutional Neural Networks","publication_year":2023,"publication_date":"2023-08-26","ids":{"openalex":"https://openalex.org/W4387124027","doi":"https://doi.org/10.1109/case56687.2023.10260667"},"language":"en","primary_location":{"id":"doi:10.1109/case56687.2023.10260667","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case56687.2023.10260667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060697937","display_name":"Wunna Tun","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210134959","display_name":"Faculty of Design","ror":"https://ror.org/04bw0hg47","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210134959"]}],"countries":["AU","SI"],"is_corresponding":false,"raw_author_name":"Wunna Tun","raw_affiliation_strings":["University of Technology,Faculty of Design, Architecture and Building,Sydney,Australia","Faculty of Design, Architecture and Building, University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Faculty of Design, Architecture and Building,Sydney,Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I4210134959"]},{"raw_affiliation_string":"Faculty of Design, Architecture and Building, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038983520","display_name":"Johnny Wong","orcid":"https://orcid.org/0000-0001-7662-6796"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210134959","display_name":"Faculty of Design","ror":"https://ror.org/04bw0hg47","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210134959"]}],"countries":["AU","SI"],"is_corresponding":false,"raw_author_name":"Johnny Kwok-Wai Wong","raw_affiliation_strings":["University of Technology,Faculty of Design, Architecture and Building,Sydney,Australia","Faculty of Design, Architecture and Building, University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Faculty of Design, Architecture and Building,Sydney,Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I4210134959"]},{"raw_affiliation_string":"Faculty of Design, Architecture and Building, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079852457","display_name":"Sai Ho Ling","orcid":"https://orcid.org/0000-0003-0849-5098"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sai Ho Ling","raw_affiliation_strings":["University of Technology,Faculty of Engineering and IT,Sydney,Australia","Faculty of Engineering and IT, University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Faculty of Engineering and IT,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24140993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"102","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T14319","display_name":"Currency Recognition and Detection","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/hvac","display_name":"HVAC","score":0.9731175899505615},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6403123736381531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6397958397865295},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6211000084877014},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5440333485603333},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5176156759262085},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.47878706455230713},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46314072608947754},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.46225517988204956},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44409385323524475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4225514233112335},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.41829609870910645},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.38880476355552673},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3685925602912903},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3225393295288086},{"id":"https://openalex.org/keywords/air-conditioning","display_name":"Air conditioning","score":0.3149294853210449},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2656199336051941},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.11546686291694641},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.10415717959403992}],"concepts":[{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.9731175899505615},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6403123736381531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397958397865295},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6211000084877014},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5440333485603333},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5176156759262085},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.47878706455230713},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46314072608947754},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.46225517988204956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44409385323524475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4225514233112335},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.41829609870910645},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.38880476355552673},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3685925602912903},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3225393295288086},{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.3149294853210449},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2656199336051941},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.11546686291694641},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.10415717959403992},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case56687.2023.10260667","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case56687.2023.10260667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W73942355","https://openalex.org/W251578582","https://openalex.org/W1913991059","https://openalex.org/W1993579113","https://openalex.org/W2002633939","https://openalex.org/W2007842565","https://openalex.org/W2050637698","https://openalex.org/W2075685936","https://openalex.org/W2077332493","https://openalex.org/W2151916190","https://openalex.org/W2607521821","https://openalex.org/W2809254203","https://openalex.org/W2883193586","https://openalex.org/W3017377715","https://openalex.org/W3081881852","https://openalex.org/W3130203824","https://openalex.org/W6602990936","https://openalex.org/W6682395581"],"related_works":["https://openalex.org/W2112866972","https://openalex.org/W4240233711","https://openalex.org/W2900606913","https://openalex.org/W4320003279","https://openalex.org/W2326910963","https://openalex.org/W3111008797","https://openalex.org/W3046823714","https://openalex.org/W2348218441","https://openalex.org/W3021806226","https://openalex.org/W4205684936"],"abstract_inverted_index":{"Heating,":[0],"ventilation,":[1],"and":[2,30,37,42,63,68,134,176,192],"air":[3],"conditioning":[4],"(HVAC)":[5],"system":[6,165],"contain":[7],"a":[8,74,80,117],"number":[9],"of":[10,53,142,184,194],"electrical":[11],"parts":[12],"that":[13],"are":[14],"susceptible":[15],"to":[16,44,181],"failure.":[17],"Conventional":[18],"fault":[19,56,124,157,166,185],"detection":[20,57,158,186],"techniques":[21],"for":[22,111],"HVAC":[23,55,90,123,132,164,195],"systems,":[24,58,159],"aimed":[25],"at":[26],"enhancing":[27,189],"their":[28,46],"effectiveness":[29,191],"energy-saving":[31,151],"capabilities,":[32],"suffer":[33],"from":[34],"low":[35,61],"accuracy":[36,62,140],"necessitate":[38],"artificial":[39],"feature":[40,66,114,174],"extraction":[41,67,175],"selection":[43],"improve":[45],"performance.":[47],"This":[48],"research":[49,179],"addresses":[50],"the":[51,89,100,109,121,150,170,182,190],"limitations":[52],"conventional":[54],"which":[59],"exhibit":[60],"require":[64],"manual":[65,173],"selection.":[69,115],"To":[70],"overcome":[71],"these":[72],"challenges,":[73],"novel":[75],"approach":[76,103,146],"is":[77],"proposed":[78,101,145],"using":[79],"one-dimensional":[81],"convolution":[82],"neural":[83],"network":[84],"(1D-CNN)":[85],"in":[86,131,163,197],"conjunction":[87],"with":[88,137],"SIMulation":[91],"PLUS":[92],"(HVACSIM+)":[93],"dynamic":[94],"simulation":[95,106],"system.":[96],"Unlike":[97],"traditional":[98],"methods,":[99],"1D-CNN":[102],"utilizes":[104],"experimental":[105],"data":[107],"without":[108],"need":[110],"pre-processing":[112],"or":[113],"In":[116],"single-story,":[118],"four-room":[119],"building,":[120],"implemented":[122],"model":[125],"successfully":[126],"identifies":[127],"ten":[128],"major":[129],"faults":[130],"equipment":[133],"control":[135],"systems":[136,196],"an":[138],"impressive":[139],"rate":[141],"94%.":[143],"The":[144],"not":[147],"only":[148],"achieves":[149],"goal":[152],"but":[153],"also":[154],"outperforms":[155],"previous":[156],"demonstrating":[160],"its":[161],"superiority":[162],"diagnosis.":[167],"By":[168],"eliminating":[169],"reliance":[171],"on":[172],"selection,":[177],"this":[178],"contributes":[180],"advancement":[183],"techniques,":[187],"ultimately":[188],"reliability":[193],"various":[198],"operating":[199],"conditions.":[200]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
