{"bf17e993f626a2b1aa67f853fc1fb2edtreeber":{"DOI":"10.1016/j.procir.2023.08.066","ISBN":"","ISSN":"2212-8271","URL":"http://dx.doi.org/10.1016/j.procir.2023.08.066","abstract":"","annote":"","author":[{"family":"Reeber","given":"Tim"},{"family":"Henninger","given":"Jens"},{"family":"Weingarz","given":"Niklas"},{"family":"Simon","given":"Peter M."},{"family":"Berndt","given":"Maximilian"},{"family":"Glatt","given":"Moritz"},{"family":"Kirsch","given":"Benjamin"},{"family":"Eisseler","given":"Rocco"},{"family":"Aurich","given":"Jan C."},{"family":"Möhring","given":"Hans Christian"}],"citation-label":"Reeber_2024","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Procedia CIRP","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2024"]],"literal":"2024"},"event-place":"","id":"bf17e993f626a2b1aa67f853fc1fb2edtreeber","interhash":"e3a1289eb25f61b42c18d8b1c809b89a","intrahash":"bf17e993f626a2b1aa67f853fc1fb2ed","issue":"","issued":{"date-parts":[["2024"]],"literal":"2024"},"keyword":"analysis anomaly condition detection learning machine machining manufacturing monitoring networks neural process series time tool","misc":{"issn":"2212-8271","doi":"10.1016/j.procir.2023.08.066"},"note":"","number":"","number-of-pages":"5","page":"216–221","page-first":"216","publisher":"Elsevier BV","publisher-place":"","status":"","title":"Tool condition monitoring in drilling processes using anomaly detection approaches based on control internal data","type":"article-journal","username":"treeber","version":"","volume":"121"}}