{"id":"https://openalex.org/W2953741480","doi":"https://doi.org/10.1109/tase.2019.2921285","title":"A Double Hybrid State-Space Model for Real-Time Sensor-Driven Monitoring of Deteriorating Systems","display_name":"A Double Hybrid State-Space Model for Real-Time Sensor-Driven Monitoring of Deteriorating Systems","publication_year":2019,"publication_date":"2019-06-26","ids":{"openalex":"https://openalex.org/W2953741480","doi":"https://doi.org/10.1109/tase.2019.2921285","mag":"2953741480"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2019.2921285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2019.2921285","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5072398525","display_name":"Erotokritos Skordilis","orcid":"https://orcid.org/0000-0003-1441-9630"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erotokritos Skordilis","raw_affiliation_strings":["Department of Industrial Engineering, University of Miami, Coral Gables, USA"],"raw_orcid":"https://orcid.org/0000-0003-1441-9630","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Miami, Coral Gables, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054244779","display_name":"Ramin Moghaddass","orcid":"https://orcid.org/0000-0003-3634-633X"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramin Moghaddass","raw_affiliation_strings":["Department of Industrial Engineering, University of Miami, Coral Gables, USA"],"raw_orcid":"https://orcid.org/0000-0003-3634-633X","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Miami, Coral Gables, USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":null,"apc_paid":null,"fwci":2.063,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.86348828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"1","first_page":"72","last_page":"87"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9965999722480774,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/interpretability","display_name":"Interpretability","score":0.6269710063934326},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5825740694999695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5508154630661011},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.530792772769928},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.5262783169746399},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5183171033859253},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5150968432426453},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.5048282742500305},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.49999260902404785},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4322913587093353},{"id":"https://openalex.org/keywords/state-space-representation","display_name":"State-space representation","score":0.423404723405838},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4207450747489929},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40096399188041687},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35726767778396606},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.35142451524734497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3367891311645508},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3274444043636322},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.30776992440223694},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20456525683403015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10154813528060913}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6269710063934326},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5825740694999695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5508154630661011},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.530792772769928},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.5262783169746399},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5183171033859253},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5150968432426453},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.5048282742500305},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.49999260902404785},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4322913587093353},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.423404723405838},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4207450747489929},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40096399188041687},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35726767778396606},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.35142451524734497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3367891311645508},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3274444043636322},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.30776992440223694},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20456525683403015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10154813528060913},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2019.2921285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2019.2921285","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1495862233","https://openalex.org/W1496245333","https://openalex.org/W1520795727","https://openalex.org/W1642248920","https://openalex.org/W1965998977","https://openalex.org/W1985479195","https://openalex.org/W1985780394","https://openalex.org/W1998625821","https://openalex.org/W2000743683","https://openalex.org/W2014299428","https://openalex.org/W2056760934","https://openalex.org/W2066327624","https://openalex.org/W2070791763","https://openalex.org/W2071534836","https://openalex.org/W2075117613","https://openalex.org/W2088378662","https://openalex.org/W2089305186","https://openalex.org/W2098091224","https://openalex.org/W2101946706","https://openalex.org/W2104600154","https://openalex.org/W2105032794","https://openalex.org/W2107865461","https://openalex.org/W2111072639","https://openalex.org/W2117354219","https://openalex.org/W2120841219","https://openalex.org/W2125514280","https://openalex.org/W2125838338","https://openalex.org/W2125921035","https://openalex.org/W2126736494","https://openalex.org/W2131946827","https://openalex.org/W2134788745","https://openalex.org/W2137564911","https://openalex.org/W2138309709","https://openalex.org/W2139006349","https://openalex.org/W2141281199","https://openalex.org/W2171074980","https://openalex.org/W2187422466","https://openalex.org/W2266656317","https://openalex.org/W2269447449","https://openalex.org/W2333401465","https://openalex.org/W2416217225","https://openalex.org/W2524957251","https://openalex.org/W2547400235","https://openalex.org/W2592533002","https://openalex.org/W2605528934","https://openalex.org/W2617079957","https://openalex.org/W2625343882","https://openalex.org/W2773549135","https://openalex.org/W2811037592","https://openalex.org/W2842161686","https://openalex.org/W3103934441","https://openalex.org/W4251960031"],"related_works":["https://openalex.org/W3203814031","https://openalex.org/W2130896800","https://openalex.org/W3021952245","https://openalex.org/W1486719010","https://openalex.org/W2376920787","https://openalex.org/W2087510656","https://openalex.org/W2353818317","https://openalex.org/W2485097341","https://openalex.org/W2009797633","https://openalex.org/W3148930363"],"abstract_inverted_index":{"With":[0],"the":[1,12,58,61,84,89,94,97,112,118,126,143,147,152,159,185,206,226,256,269,274],"rising":[2],"complexity":[3],"of":[4,9,38,60,77,88,99,117,128,154,161,170,184,273],"deteriorating":[5],"systems":[6,191],"and":[7,17,23,65,91,96,114,151,173,210,213,233,245,251],"availability":[8],"advanced":[10],"sensors,":[11],"need":[13],"for":[14,20,35,47,111,125,264],"more":[15,32],"robust":[16],"reliable":[18,33],"methods":[19],"condition":[21,64],"monitoring":[22],"dynamic":[24],"maintenance":[25],"decision-making":[26],"has":[27],"significantly":[28],"increased.":[29],"To":[30],"generate":[31],"results":[34,110],"reliability":[36],"analysis":[37],"complex":[39],"systems,":[40],"we":[41],"propose":[42],"a":[43,51,75,168,174,202,214,221,237],"new":[44,222],"generative":[45,239],"framework":[46,163],"failure":[48,100],"prognosis":[49,183],"utilizing":[50,249],"hybrid":[52],"state-space":[53],"model":[54,72,129,142,223],"(SSM)":[55],"that":[56,224,241,255],"represents":[57],"evolution":[59],"system's":[62,155],"operating":[63,234],"its":[66],"degradation":[67,86,177,208,216,229],"over":[68],"time.":[69],"The":[70],"proposed":[71],"can":[73,259],"employ":[74],"set":[76,169],"real-time":[78],"sensor":[79,193,211,231],"measurements":[80],"to:":[81],"1)":[82],"diagnose":[83],"hidden":[85,207],"level":[87,209],"system":[90],"2)":[92],"predict":[93],"likelihood":[95],"uncertainty":[98],"without":[101],"imposing":[102],"unrealistic":[103],"heavy":[104],"distributional":[105,198],"assumptions.":[106],"We":[107,157],"provide":[108],"analytical":[109],"prediction":[113],"update":[115],"steps":[116],"associated":[119],"particle":[120],"filter,":[121],"as":[122,124,201,268],"well":[123],"estimation":[127],"parameters.":[130],"A":[131],"single-layer":[132],"feed-forward":[133],"neural":[134],"network":[135],"(Extreme":[136],"Learning":[137],"Machine)":[138],"was":[139],"used":[140],"to":[141,181],"nonparametric":[144],"relationship":[145,204,227],"between":[146,205,228],"multi-dimensional":[148],"observation":[149],"process":[150],"rest":[153],"dynamics.":[156],"demonstrate":[158],"application":[160],"our":[162],"through":[164],"numerical":[165],"experiments":[166],"on":[167],"simulated":[171,250],"data":[172,178,194,253],"turbofan":[175],"engine":[176],"set.":[179],"Note":[180],"Practitioners-The":[182],"future":[186],"health":[187],"status":[188],"in":[189,236],"degrading":[190],"using":[192],"generally":[195],"requires":[196],"many":[197],"assumptions,":[199],"such":[200,267],"parametric":[203],"measurements,":[212,232],"predefined":[215],"threshold.":[217],"This":[218],"paper":[219],"proposes":[220],"formulates":[225],"level,":[230],"conditions":[235],"multi-layer":[238],"manner":[240],"helps":[242],"accommodate":[243],"interpretability":[244],"uncertainty.":[246],"Results":[247],"obtained":[248],"real-life":[252],"prove":[254],"developed":[257],"method":[258],"yield":[260],"reasonable":[261],"prognostic":[262],"estimates":[263],"important":[265],"measures,":[266],"remaining":[270],"useful":[271],"life":[272],"system.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
