{"id":"https://openalex.org/W2954399398","doi":"https://doi.org/10.1109/icit.2019.8755022","title":"Data Driven Model for Performance Evaluation and Anomaly Detection in Integrated Air Source Heat Pump Operation","display_name":"Data Driven Model for Performance Evaluation and Anomaly Detection in Integrated Air Source Heat Pump Operation","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2954399398","doi":"https://doi.org/10.1109/icit.2019.8755022","mag":"2954399398"},"language":"en","primary_location":{"id":"doi:10.1109/icit.2019.8755022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2019.8755022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Technology (ICIT)","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/A5101630343","display_name":"Wen-Tai Li","orcid":"https://orcid.org/0000-0003-4008-0773"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Wen-Tai Li","raw_affiliation_strings":["Engineering Product Development, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Engineering Product Development, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016027069","display_name":"Naveed Ul Hassan","orcid":"https://orcid.org/0000-0001-5477-6195"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Naveed UL Hassan","raw_affiliation_strings":["Electrical Engineering Department, Lahore University of Management Sciences, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Lahore University of Management Sciences, Lahore, Pakistan","institution_ids":["https://openalex.org/I207789805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011526239","display_name":"Farhan Khan","orcid":"https://orcid.org/0000-0001-9929-8553"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Farhan Khan","raw_affiliation_strings":["Engineering Product Development, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Engineering Product Development, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060020877","display_name":"Chau Yuen","orcid":"https://orcid.org/0000-0002-9307-2120"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chau Yuen","raw_affiliation_strings":["Engineering Product Development, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Engineering Product Development, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060668879","display_name":"Yeong Ming Keow","orcid":null},"institutions":[{"id":"https://openalex.org/I2801240577","display_name":"Building and Construction Authority","ror":"https://ror.org/036ve4657","country_code":"SG","type":"government","lineage":["https://openalex.org/I2801240577"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yeong Ming Keow","raw_affiliation_strings":["School of Building and Development, Building and Construction Authority Academy, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Building and Development, Building and Construction Authority Academy, Singapore","institution_ids":["https://openalex.org/I2801240577"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101630343"],"corresponding_institution_ids":["https://openalex.org/I152815399"],"apc_list":null,"apc_paid":null,"fwci":0.4863,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6797183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1280","last_page":"1285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9983999729156494,"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":0.9983999729156494,"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/T11954","display_name":"Energy Efficiency and Management","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.991100013256073,"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/heat-pump","display_name":"Heat pump","score":0.6962440013885498},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.687934935092926},{"id":"https://openalex.org/keywords/coefficient-of-performance","display_name":"Coefficient of performance","score":0.6693392992019653},{"id":"https://openalex.org/keywords/air-source-heat-pumps","display_name":"Air source heat pumps","score":0.6515613794326782},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5803490281105042},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5396900177001953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49536383152008057},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4643002152442932},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46325406432151794},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42443040013313293},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4117535948753357},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36545711755752563},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.32588309049606323},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30043983459472656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21193018555641174},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14835453033447266},{"id":"https://openalex.org/keywords/heat-exchanger","display_name":"Heat exchanger","score":0.10499441623687744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10168963670730591},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09578073024749756},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.08492279052734375}],"concepts":[{"id":"https://openalex.org/C2776461528","wikidata":"https://www.wikidata.org/wiki/Q131313","display_name":"Heat pump","level":3,"score":0.6962440013885498},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.687934935092926},{"id":"https://openalex.org/C13119800","wikidata":"https://www.wikidata.org/wiki/Q902090","display_name":"Coefficient of performance","level":4,"score":0.6693392992019653},{"id":"https://openalex.org/C187949908","wikidata":"https://www.wikidata.org/wiki/Q2044954","display_name":"Air source heat pumps","level":4,"score":0.6515613794326782},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5803490281105042},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5396900177001953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49536383152008057},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4643002152442932},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46325406432151794},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42443040013313293},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4117535948753357},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36545711755752563},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.32588309049606323},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30043983459472656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21193018555641174},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14835453033447266},{"id":"https://openalex.org/C107706546","wikidata":"https://www.wikidata.org/wiki/Q189124","display_name":"Heat exchanger","level":2,"score":0.10499441623687744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10168963670730591},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09578073024749756},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08492279052734375},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit.2019.8755022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2019.8755022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1982898990","https://openalex.org/W2011989569","https://openalex.org/W2061255707","https://openalex.org/W2245779549","https://openalex.org/W2530835411","https://openalex.org/W2575637386","https://openalex.org/W2620512989","https://openalex.org/W2753740142","https://openalex.org/W2780476542","https://openalex.org/W2782313963","https://openalex.org/W4232437648","https://openalex.org/W6690908162","https://openalex.org/W6728857660"],"related_works":["https://openalex.org/W2063033474","https://openalex.org/W2373479921","https://openalex.org/W4386877255","https://openalex.org/W2030225625","https://openalex.org/W3154592452","https://openalex.org/W2766208856","https://openalex.org/W1707696650","https://openalex.org/W3092473756","https://openalex.org/W2387617579","https://openalex.org/W3025585938"],"abstract_inverted_index":{"In":[0,113],"this":[1],"paper":[2],"we":[3,40,88,141],"focus":[4],"on":[5],"a":[6,35,48,63,91,144],"practical":[7],"application":[8],"of":[9,23,47,57,81,93,134,172,185],"data":[10,73,83,197],"driven":[11,198],"process":[12],"monitoring":[13],"for":[14,74,109,148,205],"performance":[15,100,167,178],"evaluation":[16],"and":[17,84,105],"anomaly":[18],"detection":[19],"in":[20,38,169,179],"the":[21,45,79,82,160,166,170,177,180,186,206],"operation":[22,46,171],"air":[24],"source":[25],"heat":[26],"pumps":[27,118],"(ASHPs).":[28],"At":[29],"our":[30,114,192],"test":[31],"site,":[32],"which":[33],"is":[34],"hospital":[36],"building":[37],"Singapore,":[39],"install":[41],"sensors":[42],"to":[43,62,67,98,103,106,158,176],"monitor":[44],"hot":[49,207],"water":[50,208],"heating":[51],"system":[52,209],"(10":[53],"years":[54],"old)":[55],"comprising":[56],"5":[58],"ASHPs":[59,104,174],"operating":[60],"according":[61],"pre-defined":[64],"switching":[65],"algorithm":[66],"balance":[68],"their":[69],"workload.":[70],"We":[71],"collect":[72],"6":[75],"consecutive":[76],"months.":[77],"With":[78],"help":[80],"site":[85],"specific":[86],"conditions,":[87],"first":[89],"develop":[90],"Coefficient":[92],"Performance":[94],"(CoP)":[95],"based":[96],"technique":[97],"visualize":[99],"degradation":[101,168],"regarding":[102],"identify":[107],"patterns":[108],"early":[110],"fault":[111],"detection.":[112],"monitored":[115],"data,":[116,140],"three":[117],"malfunctioned":[119],"with":[120,191],"easily":[121],"identifiable":[122],"patterns,":[123],"such":[124],"as,":[125],"consistent":[126,190],"under-performance":[127],"or":[128],"over-performance":[129],"followed":[130],"by":[131],"longer":[132],"periods":[133],"under-performance.":[135],"Then,":[136],"using":[137],"one":[138],"month":[139],"also":[142,155],"train":[143],"linear":[145,187],"regression":[146],"model":[147,153,188],"each":[149],"ASHP":[150],"performance.":[151],"This":[152],"can":[154,200],"be":[156],"used":[157],"predict":[159],"outlet":[161],"temperature":[162],"as":[163,165],"well":[164],"individual":[173],"relative":[175],"training":[181],"period.":[182],"The":[183,195],"results":[184],"are":[189],"CoP":[193],"technique.":[194],"proposed":[196],"methods":[199],"yield":[201],"huge":[202],"economic":[203],"benefits":[204],"operator.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}