{"id":"https://openalex.org/W2012405285","doi":"https://doi.org/10.1002/aic.690440310","title":"Estimating state probability distributions from noisy and corrupted data","display_name":"Estimating state probability distributions from noisy and corrupted data","publication_year":1998,"publication_date":"1998-03-01","ids":{"openalex":"https://openalex.org/W2012405285","doi":"https://doi.org/10.1002/aic.690440310","mag":"2012405285"},"language":"en","primary_location":{"id":"doi:10.1002/aic.690440310","doi":"https://doi.org/10.1002/aic.690440310","is_oa":false,"landing_page_url":"https://doi.org/10.1002/aic.690440310","pdf_url":null,"source":{"id":"https://openalex.org/S147177414","display_name":"AIChE Journal","issn_l":"0001-1541","issn":["0001-1541","1547-5905"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-1","ki-jl-1","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIChE Journal","raw_type":"journal-article"},"volume":null,"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/A5113829680","display_name":"Lloyd P. M. Johnston","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Lloyd P. M. Johnston","raw_affiliation_strings":["Dept. of Chemical Engineering, University of New South Wales, Sydney, 2052, Australia","Department of Chemical Engineering, University of New South Wales, Sydney 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Chemical Engineering, University of New South Wales, Sydney, 2052, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Department of Chemical Engineering, University of New South Wales, Sydney 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058048101","display_name":"Mark A. Kramer","orcid":"https://orcid.org/0000-0002-9979-7202","observed_orcids":["https://orcid.org/0000-0002-9979-7202","https://orcid.org/0000-0003-4376-4580","https://orcid.org/0000-0002-8794-2767"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark A. Kramer","raw_affiliation_strings":["Gensym Corporation, 125 Cambridge Park Drive, Cambridge, MA 02140"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gensym Corporation, 125 Cambridge Park Drive, Cambridge, MA 02140","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113829680"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":{"value":4940,"currency":"USD","value_usd":4940},"apc_paid":null,"fwci":2.4692,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87272487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"44","issue":"3","first_page":"591","last_page":"602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9355000257492065,"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":0.9355000257492065,"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/T11236","display_name":"Control Systems and Identification","score":0.04919999837875366,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.013500000350177288,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/gross-errors","display_name":"gross errors","score":0.8029999732971191},{"id":"https://openalex.org/keywords/measurement-noise","display_name":"measurement noise","score":0.7059999704360962},{"id":"https://openalex.org/keywords/expectation-maximization-algorithm","display_name":"expectation-maximization algorithm","score":0.8870000243186951},{"id":"https://openalex.org/keywords/iterative-estimation","display_name":"iterative estimation","score":0.4729999899864197},{"id":"https://openalex.org/keywords/convergence-analysis","display_name":"convergence analysis","score":0.6190000176429749},{"id":"https://openalex.org/keywords/chemical-process-monitoring","display_name":"chemical process monitoring","score":0.8659999966621399},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"statistical process control","score":0.8519999980926514},{"id":"https://openalex.org/keywords/quality-control","display_name":"quality control","score":0.9480000138282776}],"concepts":[{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5414779782295227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.528890073299408},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5133808851242065},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5104245543479919},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5054309368133545},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.47388190031051636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4639318585395813},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37620922923088074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32211726903915405},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2609759569168091},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1819472312927246},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/aic.690440310","doi":"https://doi.org/10.1002/aic.690440310","is_oa":false,"landing_page_url":"https://doi.org/10.1002/aic.690440310","pdf_url":null,"source":{"id":"https://openalex.org/S147177414","display_name":"AIChE Journal","issn_l":"0001-1541","issn":["0001-1541","1547-5905"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-1","ki-jl-1","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIChE Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1981307511","https://openalex.org/W1981367467","https://openalex.org/W1998487261","https://openalex.org/W2007931514","https://openalex.org/W2025653905","https://openalex.org/W2025753535","https://openalex.org/W2029890144","https://openalex.org/W2036257443","https://openalex.org/W2039587216","https://openalex.org/W2042216486","https://openalex.org/W2044758663","https://openalex.org/W2049633694","https://openalex.org/W2072227363","https://openalex.org/W2080198146","https://openalex.org/W2080849284","https://openalex.org/W2083121989","https://openalex.org/W2091003821","https://openalex.org/W2094075683","https://openalex.org/W2100923606","https://openalex.org/W2118020555","https://openalex.org/W2121407732","https://openalex.org/W2129964903","https://openalex.org/W2308181013","https://openalex.org/W2326945647","https://openalex.org/W2795512730","https://openalex.org/W4234092192","https://openalex.org/W4252529143","https://openalex.org/W4300956553"],"related_works":["https://openalex.org/W2209131845","https://openalex.org/W6908471593","https://openalex.org/W7098246823","https://openalex.org/W2164604976","https://openalex.org/W2045222245","https://openalex.org/W2387095073","https://openalex.org/W2187674234","https://openalex.org/W2181818121","https://openalex.org/W4401801386","https://openalex.org/W1556859522"],"abstract_inverted_index":{"Abstract":[0],"The":[1,32],"method":[2],"of":[3,16,19,54,73,88,126,149,155],"recursive":[4],"state":[5],"density":[6],"estimation":[7],"(RSDE)":[8],"is":[9,34,42,62,108],"developed":[10],"for":[11,95,106],"determining":[12],"the":[13,17,37,52,55,59,69,74,78,83,89,92,123,127,145,150,156],"probability":[14,124],"distribution":[15,56,72,125,157],"states":[18,128],"a":[20,96],"system":[21],"from":[22],"measurements":[23],"that":[24,114],"contain":[25],"both":[26],"random":[27],"noise":[28],"and":[29,41,82,134,137],"gross":[30],"errors.":[31],"technique":[33],"based":[35],"on":[36],"expectation":[38],"maximization":[39],"algorithm":[40,61,84,90],"iterative":[43],"in":[44],"nature.":[45],"Similar":[46],"to":[47,64,91,159],"EM,":[48],"at":[49,68],"each":[50],"iteration":[51],"likelihood":[53],"estimated":[57],"by":[58],"RSDE":[60],"guaranteed":[63],"increase,":[65],"thus":[66],"arriving":[67],"most":[70],"likely":[71],"true":[75],"states,":[76,152],"given":[77],"measurement":[79],"data":[80],"set":[81],"initial":[85],"conditions.":[86],"Convergence":[87],"correct":[93],"solution,":[94],"simple":[97],"case":[98],"where":[99],"an":[100],"analytical":[101],"answer":[102],"can":[103,141],"be":[104,142],"derived":[105],"comparison,":[107],"shown.":[109,121],"Two":[110],"chemical":[111],"process":[112,136,151],"examples":[113],"have":[115],"more":[116,146],"complex":[117],"distributions":[118,148],"are":[119],"also":[120],"Once":[122],"has":[129],"been":[130],"determined,":[131],"many":[132],"monitoring":[133],"statistical":[135],"quality":[138],"control":[139],"functions":[140],"performed":[143],"using":[144],"accurate":[147],"avoiding":[153],"corruption":[154],"due":[158],"faulty":[160],"measurements.":[161]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
