{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T21:41:34Z","timestamp":1781386894768,"version":"3.54.1"},"reference-count":36,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2020,1,13]],"date-time":"2020-01-13T00:00:00Z","timestamp":1578873600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7,24]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>A large part of technological advances, especially in the field of industry, have been focused on the optimization of productive processes. However, the detection of anomalies has turned out to be a great challenge in fields like industry, medicine or stock markets. The present work addresses anomaly detection on a control level plant. We propose the application of different intelligent techniques, which allow to obtain one-class classifiers using real data taken from the correct plant operation. The performance of each classifier is assessed and validated with real created faults, achieving successful overall results.<\/jats:p>","DOI":"10.1093\/jigpal\/jzz057","type":"journal-article","created":{"date-parts":[[2019,10,14]],"date-time":"2019-10-14T11:41:49Z","timestamp":1571053309000},"page":"502-518","source":"Crossref","is-referenced-by-count":37,"title":["Anomaly detection based on one-class intelligent techniques over a control level plant"],"prefix":"10.1093","volume":"28","author":[{"given":"Esteban","family":"Jove","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, University of A Coru\u00f1a (UDC), Avda. 19 de febrero s\/n, 15405, Ferrol, A Coru\u00f1a, Spain"},{"name":"Department of Computer Science and System Engineering, University of La Laguna (ULL), Avda. Astrof. Francisco S\u00e1nchez s\/n, 38200, S\/C de Tenerife, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9-Luis","family":"Casteleiro-Roca","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of A Coru\u00f1a (UDC), Avda. 19 de febrero s\/n, 15405, Ferrol, A Coru\u00f1a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H\u00e9ctor","family":"Quinti\u00e1n","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of A Coru\u00f1a (UDC), Avda. 19 de febrero s\/n, 15405, Ferrol, A Coru\u00f1a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dragan","family":"Simi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Technical Sciences, University of Novi Sad, Dositeja Obradovi\u0107a 6, 21000, Novi Sad, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan-Albino","family":"M\u00e9ndez-P\u00e9rez","sequence":"additional","affiliation":[{"name":"Department of Computer Science and System Engineering, University of La Laguna (ULL), Avda. 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