{"id":"https://openalex.org/W2245218972","doi":"https://doi.org/10.1109/tie.2015.2478743","title":"Robust Diagnosis of Operating Mode Based on Time-Varying Hidden Markov Models","display_name":"Robust Diagnosis of Operating Mode Based on Time-Varying Hidden Markov Models","publication_year":2015,"publication_date":"2015-09-14","ids":{"openalex":"https://openalex.org/W2245218972","doi":"https://doi.org/10.1109/tie.2015.2478743","mag":"2245218972"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2015.2478743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2015.2478743","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","raw_type":"journal-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/A5012607289","display_name":"Nima Sammaknejad","orcid":"https://orcid.org/0009-0003-6362-0928"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nima Sammaknejad","raw_affiliation_strings":["Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432851","display_name":"Biao Huang","orcid":"https://orcid.org/0000-0001-9082-2216"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Biao Huang","raw_affiliation_strings":["Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103090910","display_name":"Yaojie Lu","orcid":"https://orcid.org/0000-0002-5842-7715"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yaojie Lu","raw_affiliation_strings":["Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":2.6716,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.90903873,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"63","issue":"2","first_page":"1142","last_page":"1152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9947999715805054,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5762026906013489},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5399065613746643},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5029000639915466},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4680722951889038},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4258645176887512},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.40265727043151855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29777753353118896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21846985816955566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14323532581329346},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11824983358383179}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5762026906013489},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5399065613746643},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5029000639915466},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4680722951889038},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4258645176887512},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.40265727043151855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29777753353118896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21846985816955566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14323532581329346},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11824983358383179},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2015.2478743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2015.2478743","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315876","display_name":"Syncrude","ror":"https://ror.org/01qbmc548"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1965875070","https://openalex.org/W1967904638","https://openalex.org/W1984526963","https://openalex.org/W1984672166","https://openalex.org/W1985570813","https://openalex.org/W1987036416","https://openalex.org/W2004186751","https://openalex.org/W2022731643","https://openalex.org/W2027471805","https://openalex.org/W2032103001","https://openalex.org/W2049633694","https://openalex.org/W2050754390","https://openalex.org/W2050773700","https://openalex.org/W2052441401","https://openalex.org/W2052828853","https://openalex.org/W2063492964","https://openalex.org/W2068690150","https://openalex.org/W2079803123","https://openalex.org/W2079974636","https://openalex.org/W2082810870","https://openalex.org/W2100807019","https://openalex.org/W2105459947","https://openalex.org/W2117853077","https://openalex.org/W2125838338","https://openalex.org/W2140170007","https://openalex.org/W2140336071","https://openalex.org/W2153984633","https://openalex.org/W2155469951","https://openalex.org/W2158958729","https://openalex.org/W2161197940","https://openalex.org/W2167823677"],"related_works":["https://openalex.org/W3164302780","https://openalex.org/W3126873283","https://openalex.org/W1985664346","https://openalex.org/W2009656517","https://openalex.org/W1980578514","https://openalex.org/W2540690809","https://openalex.org/W2350115929","https://openalex.org/W2118728396","https://openalex.org/W2039473210","https://openalex.org/W2111983527"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,113],"robust":[4],"approach":[5],"to":[6,40,54],"process":[7,27],"monitoring":[8],"and":[9,108,111],"diagnosis":[10],"based":[11],"on":[12],"hidden":[13],"Markov":[14],"models":[15],"with":[16,98],"time-varying":[17],"transition":[18,47],"probabilities":[19,48],"is":[20,66,74,96],"proposed.":[21],"We":[22],"model":[23,51],"observations":[24],"around":[25],"different":[26,31,42],"operating":[28,56],"modes":[29],"by":[30,69,76],"multivariate":[32,85],"Student's":[33],"$t$":[37,89],"-distributions":[39],"describe":[41],"likelihoods":[43],"of":[44,60,72,81],"outliers.":[45],"Time-varying":[46],"assist":[49],"the":[50,70,78,84,104],"in":[52,62,103],"adapting":[53],"new":[55],"conditions.":[57],"The":[58,94],"quality":[59],"data":[61],"each":[63],"mode,":[64],"which":[65],"usually":[67],"affected":[68],"percentage":[71],"outliers,":[73],"treated":[75],"assigning":[77],"appropriate":[79],"degree":[80],"freedom":[82],"for":[83],"distribution":[92],"adaptively.":[93],"method":[95],"compared":[97],"other":[99],"available":[100],"recent":[101],"techniques":[102],"literature":[105],"using":[106],"simulation":[107],"experimental":[109],"studies":[110],"shows":[112],"superior":[114],"performance.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}