{"id":"https://openalex.org/W3210131976","doi":"https://doi.org/10.1155/2021/8040140","title":"Analog Circuit Soft Fault Diagnosis Based on Sparse Random Projections and K-Nearest Neighbor","display_name":"Analog Circuit Soft Fault Diagnosis Based on Sparse Random Projections and K-Nearest Neighbor","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3210131976","doi":"https://doi.org/10.1155/2021/8040140","mag":"3210131976"},"language":"en","primary_location":{"id":"doi:10.1155/2021/8040140","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8040140","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/8040140.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/8040140.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101513930","display_name":"Jian Sun","orcid":"https://orcid.org/0000-0003-2944-3596"},"institutions":[{"id":"https://openalex.org/I4210166603","display_name":"Jinling Institute of Technology","ror":"https://ror.org/05em1gq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166603"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Sun","raw_affiliation_strings":["College of Electronic and Information Engineering, Jinling Institute of Technology, Nanjing 211169, China"],"raw_orcid":"https://orcid.org/0000-0003-2944-3596","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Jinling Institute of Technology, Nanjing 211169, China","institution_ids":["https://openalex.org/I4210166603"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091263440","display_name":"Guobin Hu","orcid":"https://orcid.org/0000-0002-4239-2503"},"institutions":[{"id":"https://openalex.org/I4210166603","display_name":"Jinling Institute of Technology","ror":"https://ror.org/05em1gq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166603"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobin Hu","raw_affiliation_strings":["College of Electronic and Information Engineering, Jinling Institute of Technology, Nanjing 211169, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Jinling Institute of Technology, Nanjing 211169, China","institution_ids":["https://openalex.org/I4210166603"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055800000","display_name":"Chenghua Wang","orcid":"https://orcid.org/0000-0001-8415-0548"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghua Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101513930"],"corresponding_institution_ids":["https://openalex.org/I4210166603"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":0.3934,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.60383902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9998000264167786,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9998000264167786,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/digital-biquad-filter","display_name":"Digital biquad filter","score":0.8035508990287781},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.697801411151886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6615992784500122},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5804353952407837},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5668949484825134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4591284692287445},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4474157392978668},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43699952960014343},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3398838937282562},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.334414541721344},{"id":"https://openalex.org/keywords/low-pass-filter","display_name":"Low-pass filter","score":0.15792840719223022},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0706591010093689}],"concepts":[{"id":"https://openalex.org/C14455310","wikidata":"https://www.wikidata.org/wiki/Q5276043","display_name":"Digital biquad filter","level":4,"score":0.8035508990287781},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.697801411151886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6615992784500122},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5804353952407837},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5668949484825134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4591284692287445},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4474157392978668},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43699952960014343},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3398838937282562},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.334414541721344},{"id":"https://openalex.org/C44682112","wikidata":"https://www.wikidata.org/wiki/Q918242","display_name":"Low-pass filter","level":3,"score":0.15792840719223022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0706591010093689},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/8040140","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8040140","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/8040140.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0ea199d2c1144b64a19b49e0a2bd0630","is_oa":true,"landing_page_url":"https://doaj.org/article/0ea199d2c1144b64a19b49e0a2bd0630","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/8040140","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8040140","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/8040140.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1028912240","display_name":null,"funder_award_id":"BK20161104","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G1514052666","display_name":null,"funder_award_id":"BK20161104","funder_id":"https://openalex.org/F4320327505","funder_display_name":"Jinling Institute of Technology"},{"id":"https://openalex.org/G4202310731","display_name":null,"funder_award_id":"jit-b-201631","funder_id":"https://openalex.org/F4320327505","funder_display_name":"Jinling Institute of Technology"},{"id":"https://openalex.org/G5001443682","display_name":null,"funder_award_id":"jit-b-201631","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5383467661","display_name":null,"funder_award_id":"BK20161104","funder_id":"https://openalex.org/F4320321605","funder_display_name":"Government of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327505","display_name":"Jinling Institute of Technology","ror":"https://ror.org/05em1gq62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3210131976.pdf","grobid_xml":"https://content.openalex.org/works/W3210131976.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1537578550","https://openalex.org/W1571304415","https://openalex.org/W1970328656","https://openalex.org/W1976088919","https://openalex.org/W2028261949","https://openalex.org/W2036572072","https://openalex.org/W2039101872","https://openalex.org/W2043441451","https://openalex.org/W2048598794","https://openalex.org/W2055019723","https://openalex.org/W2089497633","https://openalex.org/W2095196047","https://openalex.org/W2108921639","https://openalex.org/W2119884533","https://openalex.org/W2141652275","https://openalex.org/W2142410337","https://openalex.org/W2154304330","https://openalex.org/W2158001550","https://openalex.org/W2182242529","https://openalex.org/W2324336313","https://openalex.org/W2415351794","https://openalex.org/W2474843360","https://openalex.org/W2574388714","https://openalex.org/W2746505170","https://openalex.org/W2779098947","https://openalex.org/W2795765414","https://openalex.org/W2903790454","https://openalex.org/W2952746501","https://openalex.org/W2966040120","https://openalex.org/W2975708346","https://openalex.org/W2999871260","https://openalex.org/W3000835335"],"related_works":["https://openalex.org/W2538593453","https://openalex.org/W2357947109","https://openalex.org/W2944010983","https://openalex.org/W1912477014","https://openalex.org/W2078387327","https://openalex.org/W2015413700","https://openalex.org/W2133409816","https://openalex.org/W2987783938","https://openalex.org/W2131682677","https://openalex.org/W1968695676"],"abstract_inverted_index":{"Analog":[0],"circuit":[1,11,40,141],"fault":[2,42,76,100,136,143],"diagnosis":[3,43,101,144],"is":[4,95],"a":[5],"key":[6],"problem":[7],"in":[8,20,47,139],"theory":[9],"of":[10,38,74,88,102,122],"networks":[12],"and":[13,31,59],"has":[14,44,112],"been":[15,45,113],"investigated":[16],"by":[17],"many":[18],"researchers":[19],"recent":[21],"years.":[22],"An":[23],"approach":[24],"based":[25],"on":[26],"sparse":[27,60],"random":[28,61],"projections":[29,62],"(SRPs)":[30],"K-nearest":[32,89,92],"neighbor":[33,90,93],"(KNN)":[34],"to":[35,63,83,97,118],"the":[36,54,65,72,75,85,99,120,123,130,149],"realization":[37],"analog":[39,103,140],"soft":[41,142],"presented":[46],"this":[48,106],"paper.":[49],"The":[50,126],"proposed":[51,124,131],"method":[52,132],"uses":[53],"wavelet":[55],"packet":[56],"energy":[57],"spectrum":[58],"preprocess":[64],"time":[66],"response":[67],"for":[68],"feature":[69],"extraction.":[70],"Then,":[71],"variables":[73],"features":[77],"are":[78,81],"constructed,":[79],"which":[80],"used":[82,96,114],"form":[84],"observation":[86],"sequences":[87],"classifier.":[91],"classifier":[94],"accomplish":[98],"circuit.":[104],"In":[105],"paper,":[107],"four-opamp":[108],"biquad":[109],"high-pass":[110],"filter":[111],"as":[115,146],"simulation":[116],"example":[117],"verify":[119],"effectiveness":[121],"method.":[125],"simulations":[127],"show":[128],"that":[129],"offers":[133],"higher":[134],"correct":[135],"location":[137],"rate":[138],"application":[145],"compared":[147],"with":[148],"other":[150],"methods.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
