{"id":"https://openalex.org/W2028472133","doi":"https://doi.org/10.1109/aiccsa.2013.6616438","title":"Bearings prognostic using Mixture of Gaussians Hidden Markov Model and Support Vector Machine","display_name":"Bearings prognostic using Mixture of Gaussians Hidden Markov Model and Support Vector Machine","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2028472133","doi":"https://doi.org/10.1109/aiccsa.2013.6616438","mag":"2028472133"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2013.6616438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2013.6616438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 ACS International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-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/A5028988792","display_name":"Fatima Ezzahra Sloukia","orcid":null},"institutions":[{"id":"https://openalex.org/I75880681","display_name":"Hassania School of Public Works","ror":"https://ror.org/01ye8vh67","country_code":"MA","type":"education","lineage":["https://openalex.org/I75880681"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"F. Sloukia","raw_affiliation_strings":["Electrical Engineering Department, SIR2C2S/LASI-EHTP, Casablanca, Morocco","Electr. Eng. Dept., LASI-EHTP, Casablanca, Morocco"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, SIR2C2S/LASI-EHTP, Casablanca, Morocco","institution_ids":["https://openalex.org/I75880681"]},{"raw_affiliation_string":"Electr. Eng. Dept., LASI-EHTP, Casablanca, Morocco","institution_ids":["https://openalex.org/I75880681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037015959","display_name":"Mohamed El Aroussi","orcid":"https://orcid.org/0000-0001-6334-4546"},"institutions":[{"id":"https://openalex.org/I75880681","display_name":"Hassania School of Public Works","ror":"https://ror.org/01ye8vh67","country_code":"MA","type":"education","lineage":["https://openalex.org/I75880681"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"M. El Aroussi","raw_affiliation_strings":["Electrical Engineering Department, SIR2C2S/LASI-EHTP, Casablanca, Morocco","Electr. Eng. Dept., LASI-EHTP, Casablanca, Morocco"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, SIR2C2S/LASI-EHTP, Casablanca, Morocco","institution_ids":["https://openalex.org/I75880681"]},{"raw_affiliation_string":"Electr. Eng. Dept., LASI-EHTP, Casablanca, Morocco","institution_ids":["https://openalex.org/I75880681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066202543","display_name":"Hicham Medromi","orcid":null},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"H. Medromi","raw_affiliation_strings":["Syst\u00e8mes et \u00c9nergies Renouvelables, Hassan II University, Casablanca, Morocco","Lab. d'Inf., Syst. et Energies Renouvelables, Hassan II Univ., Casablanca, Morocco"],"affiliations":[{"raw_affiliation_string":"Syst\u00e8mes et \u00c9nergies Renouvelables, Hassan II University, Casablanca, Morocco","institution_ids":["https://openalex.org/I99297268"]},{"raw_affiliation_string":"Lab. d'Inf., Syst. et Energies Renouvelables, Hassan II Univ., Casablanca, Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052971919","display_name":"Mohammed Wahbi","orcid":"https://orcid.org/0009-0009-9205-2388"},"institutions":[{"id":"https://openalex.org/I75880681","display_name":"Hassania School of Public Works","ror":"https://ror.org/01ye8vh67","country_code":"MA","type":"education","lineage":["https://openalex.org/I75880681"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"M. Wahbi","raw_affiliation_strings":["Electrical Engineering Department, SIR2C2S/LASI-EHTP, Casablanca, Morocco","Electr. Eng. Dept., LASI-EHTP, Casablanca, Morocco"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, SIR2C2S/LASI-EHTP, Casablanca, Morocco","institution_ids":["https://openalex.org/I75880681"]},{"raw_affiliation_string":"Electr. Eng. Dept., LASI-EHTP, Casablanca, Morocco","institution_ids":["https://openalex.org/I75880681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028988792"],"corresponding_institution_ids":["https://openalex.org/I75880681"],"apc_list":null,"apc_paid":null,"fwci":4.0397,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.93463726,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9987999796867371,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9987999796867371,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9957000017166138,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/prognostics","display_name":"Prognostics","score":0.9112340211868286},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7706848382949829},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7701444625854492},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6960811614990234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.657563328742981},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.5359523892402649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5321948528289795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5289024710655212},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5076385736465454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48396018147468567},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4821729063987732},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4334685206413269},{"id":"https://openalex.org/keywords/hidden-semi-markov-model","display_name":"Hidden semi-Markov model","score":0.4320186972618103},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.421689510345459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4126420021057129},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41082948446273804},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.38258421421051025},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23768770694732666},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.16240182518959045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15732374787330627}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9112340211868286},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7706848382949829},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7701444625854492},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6960811614990234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657563328742981},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.5359523892402649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321948528289795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5289024710655212},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5076385736465454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48396018147468567},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4821729063987732},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4334685206413269},{"id":"https://openalex.org/C64939953","wikidata":"https://www.wikidata.org/wiki/Q3859882","display_name":"Hidden semi-Markov model","level":5,"score":0.4320186972618103},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.421689510345459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4126420021057129},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41082948446273804},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.38258421421051025},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23768770694732666},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.16240182518959045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15732374787330627},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa.2013.6616438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2013.6616438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 ACS International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W13034104","https://openalex.org/W593301007","https://openalex.org/W1481703298","https://openalex.org/W1484550134","https://openalex.org/W1502469213","https://openalex.org/W1542886575","https://openalex.org/W1909269045","https://openalex.org/W1964551425","https://openalex.org/W1969494221","https://openalex.org/W1978453339","https://openalex.org/W1993732771","https://openalex.org/W2007201064","https://openalex.org/W2045186954","https://openalex.org/W2064323378","https://openalex.org/W2066562130","https://openalex.org/W2090116710","https://openalex.org/W2110221383","https://openalex.org/W2118809239","https://openalex.org/W2125838338","https://openalex.org/W2128782426","https://openalex.org/W2135479611","https://openalex.org/W2141758575","https://openalex.org/W2150283217","https://openalex.org/W2152270473","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2164641162","https://openalex.org/W2167328408","https://openalex.org/W2306966616","https://openalex.org/W2488383041","https://openalex.org/W2591127855","https://openalex.org/W2603225712","https://openalex.org/W3000986292","https://openalex.org/W6630169991","https://openalex.org/W6736412012"],"related_works":["https://openalex.org/W2161328464","https://openalex.org/W2382132287","https://openalex.org/W2016416178","https://openalex.org/W2275147437","https://openalex.org/W2316449557","https://openalex.org/W2101819884","https://openalex.org/W2119088021","https://openalex.org/W2028472133","https://openalex.org/W2140170007","https://openalex.org/W982949649"],"abstract_inverted_index":{"Prognostic":[0],"of":[1,9,15,55,71,74,105,118],"future":[2],"health":[3,24],"state":[4],"relies":[5],"on":[6,21,52,90],"the":[7,10,53,56,60,69,72,91,98,103,106],"estimation":[8,27],"Remaining":[11],"Useful":[12],"Life":[13],"(RUL)":[14],"physical":[16],"systems":[17],"or":[18],"components":[19],"based":[20,51],"their":[22],"current":[23],"state.":[25],"RUL":[26],"can":[28],"be":[29],"done":[30],"by":[31,59],"using":[32],"three":[33],"main":[34],"approaches:":[35],"model-based,":[36],"experience-based":[37],"and":[38],"data-driven":[39,46],"approaches.":[40],"This":[41],"paper":[42],"deals":[43],"with":[44],"a":[45],"prognostics":[47],"method":[48,113],"which":[49],"is":[50],"transformation":[54],"data":[57,94],"provided":[58],"sensors":[61],"into":[62],"models":[63],"that":[64],"are":[65],"able":[66],"to":[67,110],"characterize":[68],"behavior":[70],"degradation":[73],"bearings.":[75],"For":[76],"this":[77],"purpose,":[78],"we":[79],"used":[80],"Support":[81],"Vector":[82],"Machine":[83],"(SVM)":[84],"as":[85],"modeling":[86],"tool.":[87],"The":[88],"experiments":[89],"recently":[92],"published":[93],"base":[95],"taken":[96],"from":[97],"platform":[99],"PRONOSTIA":[100],"clearly":[101],"show":[102],"superiority":[104],"proposed":[107],"approach":[108],"compared":[109],"well":[111],"established":[112],"in":[114],"literature":[115],"like":[116],"Mixture":[117],"Gaussian":[119],"Hidden":[120],"Markov":[121],"Models":[122],"(MoG-HMMs).":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}