{"id":"https://openalex.org/W2068475008","doi":"https://doi.org/10.1145/2737095.2742926","title":"Intelligent diagnostic framework using HMMs and mel-frequency cepstral coefficients applied to wind power machine","display_name":"Intelligent diagnostic framework using HMMs and mel-frequency cepstral coefficients applied to wind power machine","publication_year":2015,"publication_date":"2015-04-13","ids":{"openalex":"https://openalex.org/W2068475008","doi":"https://doi.org/10.1145/2737095.2742926","mag":"2068475008"},"language":"en","primary_location":{"id":"doi:10.1145/2737095.2742926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2737095.2742926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","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/A5057450792","display_name":"M\u00f3nica Maricela Chamay Castro","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"M\u00f3nica Maricela Chamay Castro","raw_affiliation_strings":["Kyung Hee University, Yongin City, Kyungki-do, Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University, Yongin City, Kyungki-do, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387366","display_name":"Young Jin Kim","orcid":"https://orcid.org/0000-0001-8182-2433"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Jin Kim","raw_affiliation_strings":["Kyung Hee University, Korea","Kyung Hee University , Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University, Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Kyung Hee University , Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057450792"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.079652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"324","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.996399998664856,"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":0.996399998664856,"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/T12486","display_name":"Food Supply Chain Traceability","score":0.9563999772071838,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8502639532089233},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8052123785018921},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.7027446031570435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833057403564453},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.547917902469635},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4766550660133362},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.456412136554718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39527279138565063},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3741714358329773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3577798306941986},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3541939854621887},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24490350484848022},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0855722725391388},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07821604609489441}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8502639532089233},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8052123785018921},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.7027446031570435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833057403564453},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.547917902469635},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4766550660133362},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.456412136554718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39527279138565063},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3741714358329773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3577798306941986},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3541939854621887},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24490350484848022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0855722725391388},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07821604609489441},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2737095.2742926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2737095.2742926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W12796654","https://openalex.org/W1964324791","https://openalex.org/W1995516012","https://openalex.org/W2093135704"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2349769824","https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W4293232884","https://openalex.org/W2422472940","https://openalex.org/W2019475500","https://openalex.org/W2548162870","https://openalex.org/W2144773493"],"abstract_inverted_index":{"The":[0,29],"need":[1],"of":[2,33,40,42,57,80,118,121,131],"energy":[3],"production":[4],"using":[5],"renewable":[6],"resources":[7],"has":[8,14,36],"been":[9,15],"increasing":[10],"nowadays.":[11],"Thus,":[12],"there":[13],"a":[16,69,81,90,98,111,128],"high":[17,30],"investment":[18],"in":[19,94],"wind":[20,58],"power":[21,59],"machines":[22,35],"to":[23,46,50,53,64,67,100],"increase":[24],"their":[25],"quality":[26],"and":[27,44,52,66,72,78,115],"capability.":[28],"reparation":[31],"cost":[32],"these":[34],"shifted":[37],"the":[38,55,76,102,104,113,116,119,122],"focus":[39],"interest":[41],"companies":[43],"researchers":[45],"find":[47],"effective":[48],"methods":[49],"diagnose":[51,101],"predict":[54],"status":[56,120],"machines.":[60],"Our":[61],"research":[62],"attempts":[63],"evaluate":[65],"develop":[68],"new":[70],"diagnostic":[71],"prediction":[73,114],"system":[74,123],"through":[75],"implementation":[77],"improvement":[79],"dimension":[82],"reduction":[83],"technique":[84,93],"joined":[85],"with":[86,127],"Mel-Frequency":[87],"Cepstral":[88],"Coefficients,":[89],"highly":[91],"used":[92],"voice":[95],"recognition.":[96],"As":[97,110],"tool":[99],"status,":[103],"hidden":[105],"Markov":[106],"models":[107],"are":[108],"implemented.":[109],"result,":[112],"diagnosis":[117],"were":[124],"successfully":[125],"detected":[126],"great":[129],"level":[130],"accuracy.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
