{"id":"https://openalex.org/W4415687723","doi":"https://doi.org/10.1016/j.cie.2025.111634","title":"Self-supervised spectral learning with an application to condition monitoring of tunnel ventilation systems under sparse data conditions","display_name":"Self-supervised spectral learning with an application to condition monitoring of tunnel ventilation systems under sparse data conditions","publication_year":2025,"publication_date":"2025-10-30","ids":{"openalex":"https://openalex.org/W4415687723","doi":"https://doi.org/10.1016/j.cie.2025.111634"},"language":"en","primary_location":{"id":"doi:10.1016/j.cie.2025.111634","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cie.2025.111634","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers &amp; Industrial Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.cie.2025.111634","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007997944","display_name":"Luciano S\u00e1nchez","orcid":"https://orcid.org/0000-0002-2446-1915"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Luciano S\u00e1nchez","raw_affiliation_strings":["Computer Science Department, Universidad de Oviedo, Spain"],"raw_orcid":"https://orcid.org/0000-0002-2446-1915","affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidad de Oviedo, Spain","institution_ids":["https://openalex.org/I165339363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070267406","display_name":"In\u00e9s Couso","orcid":"https://orcid.org/0000-0002-1675-6203"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"In\u00e9s Couso","raw_affiliation_strings":["Statistics Department, Universidad de Oviedo, Spain"],"raw_orcid":"https://orcid.org/0000-0002-1675-6203","affiliations":[{"raw_affiliation_string":"Statistics Department, Universidad de Oviedo, Spain","institution_ids":["https://openalex.org/I165339363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088736154","display_name":"Nahuel Costa","orcid":"https://orcid.org/0000-0002-9189-2192"},"institutions":[{"id":"https://openalex.org/I165339363","display_name":"Universidad de Oviedo","ror":"https://ror.org/006gksa02","country_code":"ES","type":"education","lineage":["https://openalex.org/I165339363"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nahuel Costa","raw_affiliation_strings":["Computer Science Department, Universidad de Oviedo, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9189-2192","affiliations":[{"raw_affiliation_string":"Computer Science Department, Universidad de Oviedo, Spain","institution_ids":["https://openalex.org/I165339363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007997944"],"corresponding_institution_ids":["https://openalex.org/I165339363"],"apc_list":{"value":3790,"currency":"USD","value_usd":3790},"apc_paid":{"value":3790,"currency":"USD","value_usd":3790},"fwci":0.4423,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63755979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"211","issue":null,"first_page":"111634","last_page":"111634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.2632000148296356,"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":0.2632000148296356,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.14100000262260437,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11206","display_name":"Model Reduction and Neural Networks","score":0.050700001418590546,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5845999717712402},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5751000046730042},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.4912000000476837},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4586000144481659},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45829999446868896},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.447299987077713},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.43320000171661377},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.35850000381469727}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5845999717712402},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5751000046730042},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45829999446868896},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.447299987077713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43880000710487366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43560001254081726},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.43320000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741999864578247},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35679998993873596},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32359999418258667},{"id":"https://openalex.org/C23463724","wikidata":"https://www.wikidata.org/wiki/Q2308831","display_name":"Spectral method","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3107999861240387},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.29490000009536743},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2930000126361847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27799999713897705},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.cie.2025.111634","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cie.2025.111634","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers &amp; Industrial Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.cie.2025.111634","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cie.2025.111634","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers &amp; Industrial Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1945390924","display_name":null,"funder_award_id":"PCI2025-163245","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G3159255893","display_name":null,"funder_award_id":"IDE/2024/000734","funder_id":"https://openalex.org/F4320313141","funder_display_name":"Gobierno del Principado de Asturias"},{"id":"https://openalex.org/G3455128434","display_name":null,"funder_award_id":"PID2023-146257OB-I00","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"}],"funders":[{"id":"https://openalex.org/F4320313141","display_name":"Gobierno del Principado de Asturias","ror":"https://ror.org/05mj4yh71"},{"id":"https://openalex.org/F4320315062","display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1772102870","https://openalex.org/W1990800674","https://openalex.org/W2000124197","https://openalex.org/W2000982976","https://openalex.org/W2015364553","https://openalex.org/W2025727209","https://openalex.org/W2069633290","https://openalex.org/W2083165325","https://openalex.org/W2090033270","https://openalex.org/W2111075016","https://openalex.org/W2119667497","https://openalex.org/W2154986869","https://openalex.org/W2996442842","https://openalex.org/W3008605228","https://openalex.org/W3123771279","https://openalex.org/W3167164486","https://openalex.org/W3171715856","https://openalex.org/W3199148273","https://openalex.org/W3212516020","https://openalex.org/W4252713891","https://openalex.org/W4281702669","https://openalex.org/W4284896394","https://openalex.org/W4312863243","https://openalex.org/W4386567722","https://openalex.org/W4391022390","https://openalex.org/W4393132179","https://openalex.org/W4396822597","https://openalex.org/W4401740220","https://openalex.org/W4406695509","https://openalex.org/W4406971076","https://openalex.org/W4408220675","https://openalex.org/W4409196648","https://openalex.org/W4409252386"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,21,26,37,78,88],"self-supervised":[4],"spectral":[5,22,34,90],"learning":[6],"framework":[7,73],"for":[8],"condition":[9],"monitoring":[10],"of":[11,138,145],"industrial":[12],"equipment":[13],"under":[14],"sparse":[15],"data":[16],"conditions.":[17],"Our":[18],"approach":[19],"integrates":[20],"regularization":[23],"term\u2014derived":[24],"from":[25,48],"cosine":[27],"divergence":[28],"between":[29],"the":[30,49,51,97,142,146],"empirical":[31],"and":[32,58,112,132,141],"modeled":[33],"energy":[35],"distributions\u2014into":[36],"variational":[38,98,134],"Expectation-Maximization":[39],"(EM)":[40],"algorithm.":[41],"By":[42],"extracting":[43],"intrinsic":[44],"supervisory":[45],"signals":[46],"directly":[47],"data,":[50,116],"proposed":[52],"method":[53,119],"reconstructs":[54],"latent":[55],"input":[56],"patterns":[57],"recovers":[59],"clean":[60],"system":[61],"dynamics":[62],"without":[63],"relying":[64],"on":[65,108],"external":[66],"labels":[67],"or":[68],"explicit":[69],"event":[70],"detection.":[71],"The":[72],"is":[74,93],"formally":[75],"developed":[76],"using":[77],"data-adaptive":[79],"basis":[80],"via":[81],"Singular":[82],"Spectrum":[83],"Analysis":[84],"(SSA)":[85],"to":[86],"generate":[87],"tailored":[89],"representation,":[91],"which":[92],"then":[94],"incorporated":[95],"into":[96],"inference":[99],"process.":[100],"We":[101],"validate":[102],"our":[103,118],"methodology":[104],"through":[105],"extensive":[106],"experiments":[107],"both":[109],"synthetic":[110],"datasets":[111],"real-world":[113],"tunnel":[114],"ventilation":[115],"where":[117],"consistently":[120],"outperforms":[121],"conventional":[122],"techniques":[123],"such":[124],"as":[125],"Fourier-based":[126],"filtering,":[127],"wavelet":[128],"denoising,":[129],"classical":[130],"SSA,":[131],"standard":[133],"EM":[135],"in":[136],"terms":[137],"reconstruction":[139],"accuracy":[140],"physical":[143],"plausibility":[144],"recovered":[147],"signal.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-30T00:00:00"}
