{"id":"https://openalex.org/W4400114156","doi":"https://doi.org/10.1109/i2mtc60896.2024.10560974","title":"Fault Prior-guided White-box Model towards Interpretable Discriminant Feature Extraction","display_name":"Fault Prior-guided White-box Model towards Interpretable Discriminant Feature Extraction","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4400114156","doi":"https://doi.org/10.1109/i2mtc60896.2024.10560974"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc60896.2024.10560974","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc60896.2024.10560974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5020682113","display_name":"Zheng Yuan","orcid":"https://orcid.org/0000-0001-7179-2437"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Zheng","raw_affiliation_strings":["School of Mechanical & Automotive Engineering, South China University of Technology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical & Automotive Engineering, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400668","display_name":"Weihua Li","orcid":"https://orcid.org/0000-0002-6190-8421"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Li","raw_affiliation_strings":["School of Mechanical & Automotive Engineering, South China University of Technology, Pazhou Lab,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical & Automotive Engineering, South China University of Technology, Pazhou Lab,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102729596","display_name":"Zhuyun Chen","orcid":"https://orcid.org/0000-0002-6100-7332"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuyun Chen","raw_affiliation_strings":["School of Mechanical & Automotive Engineering, South China University of Technology, Pazhou Lab,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical & Automotive Engineering, South China University of Technology, Pazhou Lab,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101388473","display_name":"Huibin Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huibin Lin","raw_affiliation_strings":["School of Mechanical & Automotive Engineering, South China University of Technology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical & Automotive Engineering, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077170933","display_name":"Guolin He","orcid":"https://orcid.org/0000-0001-8032-1434"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guolin He","raw_affiliation_strings":["School of Mechanical & Automotive Engineering, South China University of Technology, Pazhou Lab,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical & Automotive Engineering, South China University of Technology, Pazhou Lab,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020682113"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08907037,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9114999771118164,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9114999771118164,"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/feature-extraction","display_name":"Feature extraction","score":0.708877682685852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6898945569992065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6782559752464294},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.638900876045227},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6202090382575989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5903468132019043},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4739299416542053},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4388889968395233},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.43615150451660156},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12636017799377441},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.05423802137374878}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.708877682685852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6898945569992065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6782559752464294},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.638900876045227},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6202090382575989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5903468132019043},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4739299416542053},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4388889968395233},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.43615150451660156},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12636017799377441},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.05423802137374878},{"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc60896.2024.10560974","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc60896.2024.10560974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4928267095","display_name":null,"funder_award_id":"U23A20620,52075182,52275111,52205101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W2962090099","https://openalex.org/W2998506103","https://openalex.org/W3025888249","https://openalex.org/W3045363903","https://openalex.org/W3087588549","https://openalex.org/W3122347867","https://openalex.org/W3175207707","https://openalex.org/W3202565514","https://openalex.org/W4205133975","https://openalex.org/W4205930708","https://openalex.org/W4220924770","https://openalex.org/W4224435980","https://openalex.org/W4284669502","https://openalex.org/W4292262750","https://openalex.org/W4292387424","https://openalex.org/W4328007112","https://openalex.org/W4379382293"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W3008559849","https://openalex.org/W2371177901"],"abstract_inverted_index":{"Empowered":[0],"by":[1],"artificial":[2],"intelligence,":[3],"deep":[4,109],"learning-based":[5],"methods":[6],"for":[7,63],"fault":[8,51,85],"diagnosis":[9],"yield":[10],"satisfactory":[11],"performances":[12],"with":[13,80,156],"less":[14],"expertise":[15],"prior":[16],"meantime.":[17],"That":[18],"is":[19,61,93,132,154],"due":[20],"to":[21,41,113,160],"their":[22],"capability":[23],"of":[24,45,78,83,91,98,105,124,142,150],"powerful":[25],"and":[26,38,65,87,108,126],"adaptive":[27,64,115],"discriminant":[28],"feature":[29,68],"extraction.":[30],"However,":[31],"the":[32,43,75,81,88,96,102,121,136,140,143,147,151,157,163],"extracted":[33],"features":[34],"are":[35],"not":[36],"interpretable":[37,66,103],"hence":[39],"fail":[40],"gain":[42],"trust":[44],"humans.":[46],"To":[47],"this":[48],"end,":[49],"a":[50],"prior-guided":[52],"white-box":[53],"model":[54],"called":[55],"Laplace":[56,72],"wavelet":[57,73,99,106],"algorithm":[58],"network":[59,110,118,153],"(LWAN)":[60],"established":[62],"impact":[67,84],"extraction":[69,122,148],"(IFE).":[70],"Firstly,":[71],"becomes":[74],"convolutional":[76],"kernel":[77,158],"LWAN":[79,92,112,131],"guidance":[82],"mechanism":[86],"IFE":[89,116],"logit":[90],"interpreted":[94,155],"as":[95],"process":[97],"analysis.":[100],"Then,":[101],"combination":[104],"analysis":[107],"enables":[111],"achieve":[114],"via":[117],"training.":[119],"Finally,":[120],"results":[123],"simulation":[125],"experiment":[127],"analyses":[128],"verify":[129,162],"that":[130],"more":[133],"accurate":[134],"than":[135],"compared":[137],"networks,":[138],"indicating":[139],"superiority":[141],"proposed":[144,152],"network.":[145],"Moreover,":[146],"performance":[149],"parameters":[159],"further":[161],"credibility.":[164]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}