{"id":"https://openalex.org/W2754767460","doi":"https://doi.org/10.1109/tie.2017.2752151","title":"Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis","display_name":"Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis","publication_year":2017,"publication_date":"2017-09-13","ids":{"openalex":"https://openalex.org/W2754767460","doi":"https://doi.org/10.1109/tie.2017.2752151","mag":"2754767460"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2017.2752151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2017.2752151","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/A5071732509","display_name":"Hyunseok Oh","orcid":"https://orcid.org/0000-0002-6127-561X"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunseok Oh","raw_affiliation_strings":["School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6127-561X","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051700060","display_name":"Joon Ha Jung","orcid":"https://orcid.org/0000-0001-8396-3192"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joon Ha Jung","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112240866","display_name":"Byung Chul Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I59502557","display_name":"Korea Air Force Academy","ror":"https://ror.org/03zjevq63","country_code":"KR","type":"government","lineage":["https://openalex.org/I59502557"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung Chul Jeon","raw_affiliation_strings":["Aero Technology Research Institute, Republic of Korea Air Force, Daegu 41052, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aero Technology Research Institute, Republic of Korea Air Force, Daegu 41052, South Korea","institution_ids":["https://openalex.org/I59502557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084771659","display_name":"Byeng D. Youn","orcid":"https://orcid.org/0000-0003-0135-3660"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeng Dong Youn","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0135-3660","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.0416,"has_fulltext":false,"cited_by_count":140,"citation_normalized_percentile":{"value":0.98932236,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"65","issue":"4","first_page":"3539","last_page":"3549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.991599977016449,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/feature-extraction","display_name":"Feature extraction","score":0.7173803448677063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6909013390541077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869226098060608},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6796582937240601},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.6021735072135925},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5737425088882446},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5421577095985413},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5288770198822021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4711158275604248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4301197826862335},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.320221483707428},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2647559940814972}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7173803448677063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6909013390541077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869226098060608},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6796582937240601},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.6021735072135925},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5737425088882446},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5421577095985413},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5288770198822021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4711158275604248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4301197826862335},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.320221483707428},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2647559940814972},{"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/tie.2017.2752151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2017.2752151","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":[],"awards":[{"id":"https://openalex.org/G2899541212","display_name":null,"funder_award_id":"R17TH02","funder_id":"https://openalex.org/F4320326258","funder_display_name":"Korea Electric Power Corporation"},{"id":"https://openalex.org/G4187834673","display_name":null,"funder_award_id":"NRF-2017R1C1B5017993","funder_id":"https://openalex.org/F4320321408","funder_display_name":"Ministry of Education"}],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320326258","display_name":"Korea Electric Power Corporation","ror":"https://ror.org/04fperw70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1486311415","https://openalex.org/W1597576211","https://openalex.org/W1967879920","https://openalex.org/W1985242443","https://openalex.org/W1995430360","https://openalex.org/W2002106843","https://openalex.org/W2016131854","https://openalex.org/W2033800551","https://openalex.org/W2035398862","https://openalex.org/W2053741029","https://openalex.org/W2061698056","https://openalex.org/W2063922127","https://openalex.org/W2063949206","https://openalex.org/W2100028154","https://openalex.org/W2100187942","https://openalex.org/W2125849121","https://openalex.org/W2136922672","https://openalex.org/W2138000170","https://openalex.org/W2147768505","https://openalex.org/W2158958729","https://openalex.org/W2159470003","https://openalex.org/W2161969291","https://openalex.org/W2163922914","https://openalex.org/W2165991108","https://openalex.org/W2184192902","https://openalex.org/W2219903032","https://openalex.org/W2258884143","https://openalex.org/W2296077894","https://openalex.org/W2317595875","https://openalex.org/W2335783338","https://openalex.org/W2463319845","https://openalex.org/W2566702409","https://openalex.org/W2919115771","https://openalex.org/W3146308573"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W3029881300","https://openalex.org/W3009186105"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,19,42,91,131],"scalable":[4],"and":[5,14,37,67,90,126],"unsupervised":[6,49,64],"feature":[7,50,65],"engineering":[8],"method":[9,118],"that":[10,25],"uses":[11],"vibration":[12,20,60],"imaging":[13,21],"deep":[15,43],"learning.":[16],"For":[17],"scalability,":[18],"approach":[22,45,108,133],"is":[23,46],"devised":[24],"incorporates":[26],"data":[27,100],"from":[28],"systems":[29,137],"with":[30],"various":[31],"scales,":[32],"such":[33],"as":[34,101,103],"small":[35],"testbeds":[36],"real":[38],"field-deployed":[39],"systems.":[40],"Moreover,":[41,123],"learning":[44],"proposed":[47,78,107],"for":[48,134],"engineering.":[51],"The":[52],"overall":[53],"procedure":[54],"includes":[55],"three":[56,80],"key":[57],"steps:":[58],"1)":[59],"image":[61],"generation;":[62],"2)":[63],"extraction;":[66],"3)":[68],"fault":[69,116],"classifier":[70],"design.":[71],"To":[72],"demonstrate":[73],"the":[74,77,106,112,115,124],"validity":[75],"of":[76,114],"approach,":[79],"case":[81],"studies":[82],"are":[83],"conducted":[84],"using":[85],"an":[86],"RK4":[87],"rotor":[88,136],"kit":[89],"power":[92],"plant":[93],"journal":[94],"bearing":[95],"system.":[96],"By":[97],"incorporating":[98],"smaller-system":[99],"well":[102],"real-system":[104],"data,":[105],"can":[109,138],"substantially":[110],"increase":[111],"applicability":[113],"diagnosis":[117],"while":[119],"maintaining":[120],"good":[121],"accuracy.":[122],"time":[125],"effort":[127],"needed":[128],"to":[129],"develop":[130],"diagnostic":[132],"other":[135],"be":[139],"reduced":[140],"considerably.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":32},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":9}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
