{"id":"https://openalex.org/W4324290713","doi":"https://doi.org/10.1109/tnnls.2023.3250664","title":"Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection","display_name":"Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection","publication_year":2023,"publication_date":"2023-03-14","ids":{"openalex":"https://openalex.org/W4324290713","doi":"https://doi.org/10.1109/tnnls.2023.3250664","pmid":"https://pubmed.ncbi.nlm.nih.gov/37028350"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3250664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3250664","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5008296183","display_name":"Botao An","orcid":"https://orcid.org/0000-0003-3067-8886"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Botao An","raw_affiliation_strings":["School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033308608","display_name":"Shibin Wang","orcid":"https://orcid.org/0000-0003-4923-0491"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibin Wang","raw_affiliation_strings":["School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020086786","display_name":"Fuhua Qin","orcid":"https://orcid.org/0000-0002-3906-6889"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuhua Qin","raw_affiliation_strings":["School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081020964","display_name":"Zhibin Zhao","orcid":"https://orcid.org/0000-0003-4180-7137"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Zhao","raw_affiliation_strings":["School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011148961","display_name":"Ruqiang Yan","orcid":"https://orcid.org/0000-0002-1250-4084"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruqiang Yan","raw_affiliation_strings":["School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779843","display_name":"Xuefeng Chen","orcid":"https://orcid.org/0000-0002-0130-3172"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Chen","raw_affiliation_strings":["School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5008296183"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":8.7284,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.98366673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"35","issue":"5","first_page":"6007","last_page":"6020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958000183105469,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9332000017166138,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9300000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8005403280258179},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7206319570541382},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6252073049545288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49079689383506775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4892573356628418},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4786323606967926},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4733222424983978},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4557570517063141},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.421708345413208},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.42147254943847656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34228357672691345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8005403280258179},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7206319570541382},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6252073049545288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49079689383506775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4892573356628418},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4786323606967926},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4733222424983978},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4557570517063141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.421708345413208},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.42147254943847656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34228357672691345},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3250664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3250664","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37028350","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37028350","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1735827881","display_name":null,"funder_award_id":"52122504","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1768865586","display_name":null,"funder_award_id":"92270111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6644378097","display_name":null,"funder_award_id":"92060302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7185829484","display_name":null,"funder_award_id":"2019-I-1-1","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2082384736","https://openalex.org/W2103112267","https://openalex.org/W2105497548","https://openalex.org/W2135046866","https://openalex.org/W2163922914","https://openalex.org/W2296719434","https://openalex.org/W2763081248","https://openalex.org/W2764024122","https://openalex.org/W2765811365","https://openalex.org/W2766761849","https://openalex.org/W2784141614","https://openalex.org/W2798559986","https://openalex.org/W2808370801","https://openalex.org/W2924453407","https://openalex.org/W2956718304","https://openalex.org/W2963045681","https://openalex.org/W2963374347","https://openalex.org/W2963747696","https://openalex.org/W2977745911","https://openalex.org/W2995523160","https://openalex.org/W2996061341","https://openalex.org/W2998785217","https://openalex.org/W3007048760","https://openalex.org/W3014859219","https://openalex.org/W3015316773","https://openalex.org/W3032026348","https://openalex.org/W3106793101","https://openalex.org/W3133902371","https://openalex.org/W3156456396","https://openalex.org/W3158868365","https://openalex.org/W3159649695","https://openalex.org/W3164815015","https://openalex.org/W3183787799","https://openalex.org/W3203769673","https://openalex.org/W3212158549","https://openalex.org/W4212932075","https://openalex.org/W4213416970","https://openalex.org/W4226182663","https://openalex.org/W4235713725","https://openalex.org/W4238805501","https://openalex.org/W4244393449","https://openalex.org/W4285124025","https://openalex.org/W4289674194","https://openalex.org/W4293568373","https://openalex.org/W4295886387","https://openalex.org/W4307090967","https://openalex.org/W4322615131","https://openalex.org/W4402843978","https://openalex.org/W6631190155","https://openalex.org/W6640185926","https://openalex.org/W6724411756","https://openalex.org/W6752318946","https://openalex.org/W6780248173","https://openalex.org/W6785760900","https://openalex.org/W6841022506"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"In":[0,95],"mechanical":[1,44,178],"anomaly":[2,45,153,192],"detection,":[3,154],"algorithms":[4],"with":[5,196],"higher":[6],"accuracy,":[7],"such":[8],"as":[9,19],"those":[10],"based":[11],"on":[12],"artificial":[13],"neural":[14],"networks,":[15],"are":[16,118],"frequently":[17],"constructed":[18],"black":[20],"boxes,":[21],"resulting":[22],"in":[23,26,31],"opaque":[24],"interpretability":[25],"architecture":[27],"and":[28,60,81,91,152,157,160],"low":[29],"credibility":[30],"results.":[32,128],"This":[33],"article":[34],"proposes":[35],"an":[36,58],"adversarial":[37,51],"algorithm":[38,67],"unrolling":[39,68],"network":[40,52,93],"(AAU-Net)":[41],"for":[42,78,109],"interpretable":[43,92],"detection.":[46],"AAU-Net":[47,87,110,137,166,187],"is":[48,63,75,99,111],"a":[49,61,70,89,104],"generative":[50],"(GAN).":[53],"Its":[54],"generator,":[55],"composed":[56],"of":[57,69,83,136,149,176],"encoder":[59],"decoder,":[62],"mainly":[64],"produced":[65],"by":[66,120],"sparse":[71],"coding":[72],"model,":[73],"which":[74],"specially":[76],"designed":[77,156],"feature":[79,106,130,150,183],"encoding":[80,151],"decoding":[82],"vibration":[84],"signals.":[85],"Thus,":[86],"has":[88],"mechanism-driven":[90],"architecture.":[94],"other":[96,197],"words,":[97],"it":[98],"ad":[100],"hoc":[101,143],"interpretable.":[102,144],"Moreover,":[103],"multiscale":[105],"visualization":[107,131],"approach":[108,132],"introduced":[112],"to":[113,124,138],"verify":[114,146],"that":[115,165,171],"meaningful":[116],"features":[117,170],"encoded":[119],"AAU-Net,":[121],"helping":[122],"users":[123],"trust":[125],"the":[126,134,173,177,181,189],"detection":[127,193],"The":[129,162],"enables":[133],"results":[135,163],"be":[139],"interpretable,":[140],"i.e.,":[141],"post":[142],"To":[145],"AAU-Net's":[147],"capability":[148],"we":[155],"performed":[158],"simulations":[159],"experiments.":[161],"show":[164],"can":[167],"learn":[168],"signal":[169],"match":[172],"dynamic":[174],"mechanism":[175],"system.":[179],"Considering":[180],"excellent":[182],"learning":[184],"ability,":[185],"unsurprisingly,":[186],"achieves":[188],"best":[190],"overall":[191],"performance":[194],"compared":[195],"algorithms.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}