{"id":"https://openalex.org/W3104515728","doi":"https://doi.org/10.3390/s20226449","title":"A Novel Reconstruction Method for Measurement Data Based on MTLS Algorithm","display_name":"A Novel Reconstruction Method for Measurement Data Based on MTLS Algorithm","publication_year":2020,"publication_date":"2020-11-12","ids":{"openalex":"https://openalex.org/W3104515728","doi":"https://doi.org/10.3390/s20226449","mag":"3104515728","pmid":"https://pubmed.ncbi.nlm.nih.gov/33198060"},"language":"en","primary_location":{"id":"doi:10.3390/s20226449","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20226449","pdf_url":"https://www.mdpi.com/1424-8220/20/22/6449/pdf?version=1605147817","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/22/6449/pdf?version=1605147817","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031598556","display_name":"Tianqi Gu","orcid":"https://orcid.org/0000-0002-8464-3892"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Gu","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077801233","display_name":"Chenjie Hu","orcid":"https://orcid.org/0000-0002-2340-6412"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenjie Hu","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016135742","display_name":"Dawei Tang","orcid":"https://orcid.org/0000-0002-8914-7038"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dawei Tang","raw_affiliation_strings":["Centre for Precision Technologies, University of Huddersfield, Huddersfield HD1 3DH, UK"],"raw_orcid":"https://orcid.org/0000-0002-8914-7038","affiliations":[{"raw_affiliation_string":"Centre for Precision Technologies, University of Huddersfield, Huddersfield HD1 3DH, UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073417018","display_name":"Tianzhi Luo","orcid":"https://orcid.org/0000-0003-2637-9605"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianzhi Luo","raw_affiliation_strings":["CAS Key Laboratory of Mechanical Behaviour and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei 230022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Mechanical Behaviour and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei 230022, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073417018"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.19765909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"20","issue":"22","first_page":"6449","last_page":"6449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9944999814033508,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9865000247955322,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7795252799987793},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7697405815124512},{"id":"https://openalex.org/keywords/least-trimmed-squares","display_name":"Least trimmed squares","score":0.6310602426528931},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.5812692046165466},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5777866840362549},{"id":"https://openalex.org/keywords/total-least-squares","display_name":"Total least squares","score":0.5542888045310974},{"id":"https://openalex.org/keywords/moving-least-squares","display_name":"Moving least squares","score":0.4407132565975189},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42850804328918457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3868197798728943},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3758207857608795},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16606605052947998}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7795252799987793},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7697405815124512},{"id":"https://openalex.org/C25294789","wikidata":"https://www.wikidata.org/wiki/Q6510410","display_name":"Least trimmed squares","level":4,"score":0.6310602426528931},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.5812692046165466},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5777866840362549},{"id":"https://openalex.org/C169241690","wikidata":"https://www.wikidata.org/wiki/Q7828122","display_name":"Total least squares","level":3,"score":0.5542888045310974},{"id":"https://openalex.org/C2780580100","wikidata":"https://www.wikidata.org/wiki/Q6927143","display_name":"Moving least squares","level":2,"score":0.4407132565975189},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42850804328918457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3868197798728943},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3758207857608795},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16606605052947998},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s20226449","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20226449","pdf_url":"https://www.mdpi.com/1424-8220/20/22/6449/pdf?version=1605147817","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33198060","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33198060","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pure.atira.dk:openaire/078ceea0-2362-4679-96d6-10169905c510","is_oa":true,"landing_page_url":"https://pure.hud.ac.uk/en/publications/078ceea0-2362-4679-96d6-10169905c510","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Gu, T, Hu, C, Tang, D & Luo, T 2020, 'A Novel Reconstruction Method for Measurement Data Based on MTLS Algorithm', Sensors, vol. 20, no. 22, 6449, pp. 1-17. https://doi.org/10.3390/s20226449","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:490a0d2363b542deb7e9018798607f20","is_oa":true,"landing_page_url":"https://doaj.org/article/490a0d2363b542deb7e9018798607f20","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":"Sensors, Vol 20, Iss 22, p 6449 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/22/6449/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20226449","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 20; Issue 22; Pages: 6449","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7772720","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7772720","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20226449","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20226449","pdf_url":"https://www.mdpi.com/1424-8220/20/22/6449/pdf?version=1605147817","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1389858441","display_name":null,"funder_award_id":"EP/P006930/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1901572779","display_name":null,"funder_award_id":"11572316 and 51605094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4418867627","display_name":null,"funder_award_id":"51605094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7900473297","display_name":"\u54fa\u4e73\u52a8\u7269\u7ec6\u80de\u4e2d\u5fae\u4e1d\u9aa8\u67b6\u86cb\u767d\u7684\u673a\u654f\u611f\u5e94\u7279\u6027\u7684\u5206\u5b50\u673a\u5236\u7684\u7814\u7a76","funder_award_id":"11572316","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8305395787","display_name":null,"funder_award_id":"WK2090050042","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325599","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336656","display_name":"Thousand Young Talents Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3104515728.pdf","grobid_xml":"https://content.openalex.org/works/W3104515728.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1002897174","https://openalex.org/W1792530031","https://openalex.org/W1968779197","https://openalex.org/W1968883776","https://openalex.org/W1974102081","https://openalex.org/W1998941030","https://openalex.org/W2002392833","https://openalex.org/W2009059885","https://openalex.org/W2015881065","https://openalex.org/W2032698779","https://openalex.org/W2034159226","https://openalex.org/W2051077503","https://openalex.org/W2056107846","https://openalex.org/W2078797044","https://openalex.org/W2083131242","https://openalex.org/W2086950715","https://openalex.org/W2087091755","https://openalex.org/W2095375944","https://openalex.org/W2110417041","https://openalex.org/W2118308657","https://openalex.org/W2142136198","https://openalex.org/W2152701363","https://openalex.org/W2166227980","https://openalex.org/W2309498872","https://openalex.org/W2521610043","https://openalex.org/W2751330994","https://openalex.org/W2771940808","https://openalex.org/W2781181131","https://openalex.org/W2782448456","https://openalex.org/W2783033708","https://openalex.org/W2798874464","https://openalex.org/W2801977005","https://openalex.org/W2806865836","https://openalex.org/W2809167331","https://openalex.org/W2851150971","https://openalex.org/W2899339696","https://openalex.org/W2911055096","https://openalex.org/W2915913796","https://openalex.org/W2938312332","https://openalex.org/W2955219338","https://openalex.org/W2964133307","https://openalex.org/W2981575643","https://openalex.org/W3068339530","https://openalex.org/W6626383414"],"related_works":["https://openalex.org/W2500352122","https://openalex.org/W2030255580","https://openalex.org/W3150673294","https://openalex.org/W2034819163","https://openalex.org/W2123913166","https://openalex.org/W2939592218","https://openalex.org/W1645100892","https://openalex.org/W2043225268","https://openalex.org/W2368940260","https://openalex.org/W2352570898"],"abstract_inverted_index":{"Reconstruction":[0],"methods":[1,49],"for":[2],"discrete":[3],"data,":[4],"such":[5],"as":[6,60,112,114],"the":[7,25,32,51,54,61,78,94,102,107,110,115,124,134,142,148,154],"Moving":[8,13,79],"Least":[9,15,81,96],"Squares":[10,16,83,98],"(MLS)":[11],"and":[12,34,50,89,137,150,158],"Total":[14,80,95],"(MTLS),":[17],"have":[18,36],"made":[19],"a":[20],"great":[21],"many":[22],"achievements":[23],"with":[24],"progress":[26],"of":[27,41,118,133,156],"modern":[28],"industrial":[29],"technology.":[30],"Although":[31],"MLS":[33,151],"MTLS":[35,149],"good":[37],"approximation":[38],"accuracy,":[39],"neither":[40],"these":[42],"two":[43],"approaches":[44],"are":[45],"robust":[46,90],"model":[47],"reconstruction":[48],"outliers":[52,111],"in":[53,65,106,123],"data":[55,126],"cannot":[56],"be":[57,128],"processed":[58],"effectively":[59,129],"construction":[62,104],"principle":[63],"results":[64,132],"distorted":[66],"local":[67],"approximation.":[68],"This":[69],"paper":[70],"proposes":[71],"an":[72],"improved":[73],"method":[74,100,152],"that":[75,121,141],"is":[76,145],"called":[77],"Trimmed":[82,97],"(MTLTS)":[84],"to":[85,101,147],"achieve":[86],"more":[87],"accurate":[88],"estimations.":[91],"By":[92],"applying":[93],"(TLTS)":[99],"orthogonal":[103],"way":[105],"proposed":[108,143],"MTLTS,":[109],"well":[113],"random":[116],"errors":[117],"all":[119],"variables":[120],"exist":[122],"measurement":[125,138],"can":[127],"suppressed.":[130],"The":[131],"numerical":[135],"simulation":[136],"experiment":[139],"show":[140],"algorithm":[144],"superior":[146],"from":[153],"perspective":[155],"robustness":[157],"accuracy.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}