{"id":"https://openalex.org/W4404473025","doi":"https://doi.org/10.1007/978-3-031-75010-6_28","title":"Autoencoder Neural Networks for Anomaly Detection in Wind Turbines","display_name":"Autoencoder Neural Networks for Anomaly Detection in Wind Turbines","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404473025","doi":"https://doi.org/10.1007/978-3-031-75010-6_28"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-75010-6_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-75010-6_28","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"},"type":"book-chapter","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/A5018210351","display_name":"Dennys Coronel","orcid":"https://orcid.org/0009-0001-2701-1207"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"D. Coronel","raw_affiliation_strings":["Computer Science Faculty, Complutense University of Madrid, 28040, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Faculty, Complutense University of Madrid, 28040, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051455288","display_name":"C\u00e9sar Guevara","orcid":"https://orcid.org/0000-0003-1571-5829"},"institutions":[{"id":"https://openalex.org/I4210098931","display_name":"Quantitative BioSciences","ror":"https://ror.org/010brsj79","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210098931"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Guevara","raw_affiliation_strings":["Quantitative Methods Department, CUNEF University, 28040, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quantitative Methods Department, CUNEF University, 28040, Madrid, Spain","institution_ids":["https://openalex.org/I4210098931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087299959","display_name":"Matilde Santos","orcid":"https://orcid.org/0000-0003-1993-8368"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. Santos","raw_affiliation_strings":["Institute of Knowledge Technology, Complutense University of Madrid, 28040, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Knowledge Technology, Complutense University of Madrid, 28040, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018210351"],"corresponding_institution_ids":["https://openalex.org/I121748325"],"apc_list":null,"apc_paid":null,"fwci":1.3774,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8418742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"279","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"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":0.9969000220298767,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.970300018787384,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9273999929428101,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8527505397796631},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6013045907020569},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5378647446632385},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5148395895957947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4478967785835266},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.4415128529071808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35701853036880493},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32599395513534546},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19537991285324097},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10003507137298584},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08785298466682434}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8527505397796631},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6013045907020569},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5378647446632385},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5148395895957947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4478967785835266},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.4415128529071808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35701853036880493},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32599395513534546},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19537991285324097},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10003507137298584},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08785298466682434},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-75010-6_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-75010-6_28","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W3002493224","https://openalex.org/W3028206171","https://openalex.org/W3117835408","https://openalex.org/W3134325399","https://openalex.org/W3202494336","https://openalex.org/W3203616261","https://openalex.org/W4200062369","https://openalex.org/W4211140885","https://openalex.org/W4221111410","https://openalex.org/W4289995391","https://openalex.org/W4385657710","https://openalex.org/W6962876337"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}