{"id":"https://openalex.org/W4367845824","doi":"https://doi.org/10.1007/s11042-023-15641-1","title":"Hybrid sampling feature enhancement: a few-shot learning method for substation equipment fault recognition","display_name":"Hybrid sampling feature enhancement: a few-shot learning method for substation equipment fault recognition","publication_year":2023,"publication_date":"2023-05-03","ids":{"openalex":"https://openalex.org/W4367845824","doi":"https://doi.org/10.1007/s11042-023-15641-1"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-023-15641-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-023-15641-1","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","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/A5074922762","display_name":"Yongjie Zhai","orcid":"https://orcid.org/0000-0003-2997-5840"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjie Zhai","raw_affiliation_strings":["Department of Automation, North China Electric Power University, Baoding, 071003, China","Department of Automation, North China Electric Power University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, 071003, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068031558","display_name":"Zhedong Hu","orcid":"https://orcid.org/0000-0002-6969-9951"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhedong Hu","raw_affiliation_strings":["Department of Automation, North China Electric Power University, Baoding, 071003, China","Department of Automation, North China Electric Power University, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0002-6969-9951","affiliations":[{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, 071003, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101988007","display_name":"Wang Tian","orcid":"https://orcid.org/0009-0006-2741-140X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["Department of Automation, North China Electric Power University, Baoding, 071003, China","Department of Automation, North China Electric Power University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, 071003, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100721065","display_name":"Yaru Wang","orcid":"https://orcid.org/0000-0002-4437-144X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaru Wang","raw_affiliation_strings":["Department of Automation, North China Electric Power University, Baoding, 071003, China","Department of Automation, North China Electric Power University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, 071003, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068031558"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.2449,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50744286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"82","issue":"29","first_page":"45489","last_page":"45501"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9783999919891357,"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"}},"topics":[{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9783999919891357,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14392","display_name":"Geoscience and Mining Technology","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/softmax-function","display_name":"Softmax function","score":0.8145915269851685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8078206777572632},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7040081024169922},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6251856088638306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6032730340957642},{"id":"https://openalex.org/keywords/gumbel-distribution","display_name":"Gumbel distribution","score":0.5876177549362183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5874966382980347},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.500859260559082},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4666205644607544},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4479790925979614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2244129776954651},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1601943075656891},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12713125348091125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11409580707550049},{"id":"https://openalex.org/keywords/extreme-value-theory","display_name":"Extreme value theory","score":0.1084909439086914}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8145915269851685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8078206777572632},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7040081024169922},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6251856088638306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6032730340957642},{"id":"https://openalex.org/C137610916","wikidata":"https://www.wikidata.org/wiki/Q1096862","display_name":"Gumbel distribution","level":3,"score":0.5876177549362183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5874966382980347},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.500859260559082},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4666205644607544},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4479790925979614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2244129776954651},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1601943075656891},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12713125348091125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11409580707550049},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.1084909439086914},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-023-15641-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-023-15641-1","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","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":10,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2894737833","https://openalex.org/W2917792613","https://openalex.org/W2952331989","https://openalex.org/W2963516811","https://openalex.org/W2963870144","https://openalex.org/W2964105864","https://openalex.org/W3033447432","https://openalex.org/W3036785826","https://openalex.org/W3125486593"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W4226420367","https://openalex.org/W2980176872","https://openalex.org/W2962876041","https://openalex.org/W3090555870","https://openalex.org/W3108503355","https://openalex.org/W2565378226","https://openalex.org/W4294294142","https://openalex.org/W3007558235"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}