{"id":"https://openalex.org/W2068708047","doi":"https://doi.org/10.1109/tcyb.2013.2285876","title":"A Robust Functional-Data-Analysis Method for Data Recovery in Multichannel Sensor Systems","display_name":"A Robust Functional-Data-Analysis Method for Data Recovery in Multichannel Sensor Systems","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W2068708047","doi":"https://doi.org/10.1109/tcyb.2013.2285876","mag":"2068708047","pmid":"https://pubmed.ncbi.nlm.nih.gov/25051452"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2013.2285876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2285876","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5062319704","display_name":"Jian Sun","orcid":"https://orcid.org/0000-0001-5031-4938"},"institutions":[{"id":"https://openalex.org/I257179599","display_name":"Baker Hughes (United States)","ror":"https://ror.org/05ts6js78","country_code":"US","type":"company","lineage":["https://openalex.org/I257179599"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Sun","raw_affiliation_strings":["Baker Hughes, Inc., Houston, TX, USA","Baker Hughes Inc. , Houston , TX , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baker Hughes, Inc., Houston, TX, USA","institution_ids":["https://openalex.org/I257179599"]},{"raw_affiliation_string":"Baker Hughes Inc. , Houston , TX , USA","institution_ids":["https://openalex.org/I257179599"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024728249","display_name":"Haitao Liao","orcid":"https://orcid.org/0000-0003-1050-7086"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haitao Liao","raw_affiliation_strings":["Systems and Industrial Engineering Department, University of Arizona, Tucson, AZ, USA","[Systems and Industrial Engineering Department, University of Arizona, Tucson, AZ, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems and Industrial Engineering Department, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"[Systems and Industrial Engineering Department, University of Arizona, Tucson, AZ, USA]","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110048676","display_name":"B.R. Upadhyaya","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Belle R. Upadhyaya","raw_affiliation_strings":["Department of Nuclear Engineering, University of Tennessee, Knoxville, TN, USA","Department of Nuclear Engineering University of Tennessee  Knoxville TN USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Engineering, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of Nuclear Engineering University of Tennessee  Knoxville TN USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.1545,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.84069688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"44","issue":"8","first_page":"1420","last_page":"1431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/functional-principal-component-analysis","display_name":"Functional principal component analysis","score":0.761282205581665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461299657821655},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6369233727455139},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5714929103851318},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5249226689338684},{"id":"https://openalex.org/keywords/functional-data-analysis","display_name":"Functional data analysis","score":0.5171222686767578},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4366605281829834},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.4328072667121887},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.4233490824699402},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.41960638761520386},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3210861086845398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2619529366493225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17611807584762573}],"concepts":[{"id":"https://openalex.org/C71176878","wikidata":"https://www.wikidata.org/wiki/Q17014987","display_name":"Functional principal component analysis","level":3,"score":0.761282205581665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461299657821655},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6369233727455139},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5714929103851318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5249226689338684},{"id":"https://openalex.org/C51820054","wikidata":"https://www.wikidata.org/wiki/Q5508814","display_name":"Functional data analysis","level":2,"score":0.5171222686767578},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4366605281829834},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.4328072667121887},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.4233490824699402},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.41960638761520386},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3210861086845398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2619529366493225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17611807584762573},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2013.2285876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2285876","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:25051452","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25051452","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G4563876008","display_name":"CAREER: Adaptive Operational Coordination Methodology for Uncertainty Reduction in Product Life Cycle Reliability and Service Logistics","funder_award_id":"1238304","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6677281167","display_name":null,"funder_award_id":"DE-EE0004167","funder_id":"https://openalex.org/F4320308154","funder_display_name":"Department of Energy, Labor and Economic Growth"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308154","display_name":"Department of Energy, Labor and Economic Growth","ror":"https://ror.org/054a0at43"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W107754910","https://openalex.org/W163215356","https://openalex.org/W1597891688","https://openalex.org/W1836969752","https://openalex.org/W1967525463","https://openalex.org/W1973239973","https://openalex.org/W1976834773","https://openalex.org/W1978002454","https://openalex.org/W1981463702","https://openalex.org/W1986345969","https://openalex.org/W1994259537","https://openalex.org/W1994280764","https://openalex.org/W1995775640","https://openalex.org/W2003524333","https://openalex.org/W2017977879","https://openalex.org/W2018786424","https://openalex.org/W2023511839","https://openalex.org/W2027956056","https://openalex.org/W2032962946","https://openalex.org/W2033527146","https://openalex.org/W2037681041","https://openalex.org/W2038580754","https://openalex.org/W2040669081","https://openalex.org/W2050551672","https://openalex.org/W2056592727","https://openalex.org/W2063016434","https://openalex.org/W2066853473","https://openalex.org/W2073767661","https://openalex.org/W2075206908","https://openalex.org/W2087231911","https://openalex.org/W2091083714","https://openalex.org/W2092477801","https://openalex.org/W2102646308","https://openalex.org/W2119608836","https://openalex.org/W2120841219","https://openalex.org/W2124701065","https://openalex.org/W2139872377","https://openalex.org/W2141055931","https://openalex.org/W2143220485","https://openalex.org/W2143617615","https://openalex.org/W2144148350","https://openalex.org/W2148995108","https://openalex.org/W2164498046","https://openalex.org/W2167417926","https://openalex.org/W2509020091","https://openalex.org/W3020872077","https://openalex.org/W3101449523","https://openalex.org/W3121395080","https://openalex.org/W4241653265","https://openalex.org/W4249935361","https://openalex.org/W4254171776","https://openalex.org/W4289257688","https://openalex.org/W4292156489","https://openalex.org/W4300460754","https://openalex.org/W6678646130","https://openalex.org/W6681873037","https://openalex.org/W6725516602","https://openalex.org/W6776068184"],"related_works":["https://openalex.org/W2299080873","https://openalex.org/W273216563","https://openalex.org/W2605967135","https://openalex.org/W2056592727","https://openalex.org/W1925427981","https://openalex.org/W2963184067","https://openalex.org/W655033734","https://openalex.org/W3046155657","https://openalex.org/W4288245065","https://openalex.org/W2970478921"],"abstract_inverted_index":{"Multichannel":[0],"sensor":[1,21,55,125,155,183],"systems":[2],"are":[3,50,86,94,177,274],"widely":[4],"used":[5,227],"in":[6,53,64,96,219,259,264,285],"condition":[7],"monitoring":[8],"for":[9,150,179],"effective":[10],"failure":[11],"prevention":[12],"of":[13,20,26,38,105,123,136,139,146,182,192,216,234,261,281],"critical":[14],"equipment":[15],"or":[16],"processes.":[17],"However,":[18,82],"loss":[19],"readings":[22],"due":[23],"to":[24,35,89,119,202,228,249,277],"malfunctions":[25],"sensors":[27],"and/or":[28,46],"communication":[29],"has":[30],"long":[31],"been":[32],"a":[33,68,110,220],"hurdle":[34],"reliable":[36],"operations":[37],"such":[39,65],"integrated":[40],"systems.":[41,126],"Moreover,":[42],"asynchronous":[43,158],"data":[44,48,69,117,149,159,273],"sampling":[45],"limited":[47,95],"transmission":[49],"usually":[51],"seen":[52],"multiple":[54],"channels.":[56],"To":[57],"reliably":[58],"perform":[59],"fault":[60],"diagnosis":[61],"and":[62,91,153,232,251],"prognosis":[63],"operating":[66],"environments,":[67],"recovery":[70],"method":[71,113,128,246,258,284],"based":[72,114],"on":[73,115],"functional":[74,116,190,200],"principal":[75],"component":[76],"analysis":[77,118],"(FPCA)":[78],"can":[79],"be":[80,162],"utilized.":[81],"traditional":[83],"FPCA":[84],"methods":[85],"not":[87,129],"robust":[88,111,180,248],"outliers":[90,250],"their":[92],"capabilities":[93],"recovering":[97,147,265,286],"signals":[98,195],"with":[99,157],"strongly":[100,266],"skewed":[101,134,267],"distributions":[102],"(i.e.,":[103],"lack":[104],"symmetry).":[106],"This":[107],"paper":[108],"provides":[109],"data-recovery":[112,206,237],"enhance":[120,203],"the":[121,132,186,189,204,214,230,235,244,255,262,279,282],"reliability":[122],"multichannel":[124],"The":[127,239],"only":[130],"considers":[131],"possibly":[133],"distribution":[135],"each":[137],"channel":[138],"signal":[140],"trajectories,":[141],"but":[142],"is":[143,196,226,247],"also":[144,275],"capable":[145,253],"missing":[148],"both":[151],"individual":[152],"correlated":[154,194],"channels":[156],"that":[160,212,243],"may":[161],"sparse":[163],"as":[164],"well.":[165],"In":[166,269],"particular,":[167],"grand":[168,174],"median":[169],"functions,":[170,176],"rather":[171],"than":[172,254],"classical":[173],"mean":[175],"utilized":[178],"smoothing":[181],"signals.":[184,268,288],"Furthermore,":[185],"relationship":[187],"between":[188],"scores":[191],"two":[193],"modeled":[197],"using":[198],"multivariate":[199],"regression":[201],"overall":[205],"capability.":[207],"An":[208],"experimental":[209],"flow-control":[210],"loop":[211,218],"mimics":[213],"operation":[215],"coolant-flow":[217],"multimodular":[221],"integral":[222],"pressurized":[223],"water":[224],"reactor":[225],"demonstrate":[229],"effectiveness":[231],"adaptability":[233],"proposed":[236,245,283],"method.":[238],"computational":[240],"results":[241],"illustrate":[242],"more":[252],"existing":[256],"FPCA-based":[257],"terms":[260],"accuracy":[263],"addition,":[270],"turbofan":[271],"engine":[272],"analyzed":[276],"verify":[278],"capability":[280],"non-skewed":[287]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}