{"id":"https://openalex.org/W4412031025","doi":"https://doi.org/10.1109/icphm65385.2025.11062046","title":"Transfer learning and ensemble learning for fault diagnosis using vibration signals","display_name":"Transfer learning and ensemble learning for fault diagnosis using vibration signals","publication_year":2025,"publication_date":"2025-06-09","ids":{"openalex":"https://openalex.org/W4412031025","doi":"https://doi.org/10.1109/icphm65385.2025.11062046"},"language":"en","primary_location":{"id":"doi:10.1109/icphm65385.2025.11062046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm65385.2025.11062046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Prognostics and Health Management (ICPHM)","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/A5109668481","display_name":"Hanqi Su","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hanqi Su","raw_affiliation_strings":["University of Maryland,Center for Industrial Artificial Intelligence,Department of Mechanical Engineering,College Park,USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Center for Industrial Artificial Intelligence,Department of Mechanical Engineering,College Park,USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100686648","display_name":"Jay Lee","orcid":"https://orcid.org/0000-0002-4022-4274"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jay Lee","raw_affiliation_strings":["University of Maryland,Center for Industrial Artificial Intelligence,Department of Mechanical Engineering,College Park,USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Center for Industrial Artificial Intelligence,Department of Mechanical Engineering,College Park,USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109668481"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22842391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.8138999938964844,"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":0.8138999938964844,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.8097000122070312,"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":0.7814000248908997,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6790978312492371},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.649133026599884},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6010640263557434},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5471266508102417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5081868171691895},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.49683550000190735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43119844794273376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33111363649368286},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.16168466210365295},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08491945266723633},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08149376511573792},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.05696380138397217}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790978312492371},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.649133026599884},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6010640263557434},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5471266508102417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5081868171691895},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.49683550000190735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43119844794273376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33111363649368286},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.16168466210365295},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08491945266723633},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08149376511573792},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.05696380138397217}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icphm65385.2025.11062046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm65385.2025.11062046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2121262881","https://openalex.org/W2194775991","https://openalex.org/W2619383789","https://openalex.org/W2762355244","https://openalex.org/W2884689635","https://openalex.org/W2909918698","https://openalex.org/W2942943006","https://openalex.org/W2944851425","https://openalex.org/W2999516673","https://openalex.org/W3006342871","https://openalex.org/W3019295470","https://openalex.org/W3103591728","https://openalex.org/W3149839747","https://openalex.org/W3169477952","https://openalex.org/W3176041833","https://openalex.org/W3200063094","https://openalex.org/W3201753566","https://openalex.org/W3209651137","https://openalex.org/W4213286134","https://openalex.org/W4225016315","https://openalex.org/W4246193833","https://openalex.org/W4283774286","https://openalex.org/W4294310828","https://openalex.org/W4296079469","https://openalex.org/W4307835584","https://openalex.org/W4313377512","https://openalex.org/W4317492017","https://openalex.org/W4321016476","https://openalex.org/W4382045866","https://openalex.org/W4385245566","https://openalex.org/W4386282419","https://openalex.org/W4388558401","https://openalex.org/W4388873639","https://openalex.org/W4388980071","https://openalex.org/W4390650755","https://openalex.org/W4399728429","https://openalex.org/W4401199597","https://openalex.org/W4402566772","https://openalex.org/W4404626546","https://openalex.org/W4406856637","https://openalex.org/W4409454976"],"related_works":["https://openalex.org/W4376643315","https://openalex.org/W2376523010","https://openalex.org/W4324137541","https://openalex.org/W4385398839","https://openalex.org/W2900445707","https://openalex.org/W4384700341","https://openalex.org/W4394759804","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548"],"abstract_inverted_index":{"In":[0],"a":[1,32,119],"complex":[2],"and":[3,20,36,59,98],"dynamic":[4],"industrial":[5],"environment,":[6],"deep":[7],"learning":[8,35,38,50,78],"models":[9],"often":[10],"face":[11],"challenges":[12],"related":[13],"to":[14,17,51,55],"generalization,":[15],"adaptation":[16],"evolving":[18],"data,":[19],"identification":[21],"of":[22,114,122],"new":[23,56],"fault":[24,41,57],"scenarios.":[25],"To":[26,72],"address":[27],"these":[28],"challenges,":[29],"we":[30],"propose":[31],"novel":[33],"transfer":[34,49],"ensemble":[37,77],"framework":[39,47],"for":[40,69],"diagnosis":[42],"using":[43],"vibration":[44],"signals.":[45],"The":[46],"leverages":[48],"enhance":[52],"model":[53,75],"adaptability":[54],"scenarios":[58],"varying":[60],"working":[61],"conditions,":[62],"improving":[63],"generalization":[64],"while":[65],"minimizing":[66],"the":[67,104,112,115],"need":[68],"full":[70],"retraining.":[71],"further":[73],"improve":[74],"robustness,":[76],"is":[79],"applied":[80],"by":[81],"integrating":[82],"predictions":[83],"from":[84],"multiscale":[85],"residual":[86],"1D":[87],"convolutional":[88],"neural":[89],"networks":[90],"(1D-CNN),":[91],"hybrid":[92],"long":[93],"short-term":[94],"memory":[95],"(LSTM)":[96],"networks,":[97],"transformer-based":[99],"models.":[100],"Experimental":[101],"results":[102],"on":[103],"PHM":[105],"North":[106],"America":[107],"2023":[108],"Gearbox":[109],"Dataset":[110],"demonstrate":[111],"effectiveness":[113],"proposed":[116],"framework,":[117],"achieving":[118],"classification":[120],"accuracy":[121],"92.05%.":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
