{"publisher":"Elsevier BV","user_id":"552","page":"554-560","keyword":["Control and Systems Engineering"],"title":"Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data","publication_identifier":{"issn":["2405-8963"]},"date_updated":"2023-04-27T12:04:32Z","intvolume":" 55","quality_controlled":"1","publication_status":"published","publication":"IFAC-PapersOnLine","issue":"2","year":"2022","_id":"33982","citation":{"ama":"Koppert S, Henke C, Trächtler A, Möhringer S. Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data. IFAC-PapersOnLine. 2022;55(2):554-560. doi:10.1016/j.ifacol.2022.04.252","chicago":"Koppert, Steven, Christian Henke, Ansgar Trächtler, and Stefan Möhringer. “Tool Wear Monitoring of a Tree Log Bandsaw Using a Deep Convolutional Neural Network on Challenging Data.” IFAC-PapersOnLine 55, no. 2 (2022): 554–60. https://doi.org/10.1016/j.ifacol.2022.04.252.","apa":"Koppert, S., Henke, C., Trächtler, A., & Möhringer, S. (2022). Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data. IFAC-PapersOnLine, 55(2), 554–560. https://doi.org/10.1016/j.ifacol.2022.04.252","short":"S. Koppert, C. Henke, A. Trächtler, S. Möhringer, IFAC-PapersOnLine 55 (2022) 554–560.","bibtex":"@article{Koppert_Henke_Trächtler_Möhringer_2022, title={Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data}, volume={55}, DOI={10.1016/j.ifacol.2022.04.252}, number={2}, journal={IFAC-PapersOnLine}, publisher={Elsevier BV}, author={Koppert, Steven and Henke, Christian and Trächtler, Ansgar and Möhringer, Stefan}, year={2022}, pages={554–560} }","mla":"Koppert, Steven, et al. “Tool Wear Monitoring of a Tree Log Bandsaw Using a Deep Convolutional Neural Network on Challenging Data.” IFAC-PapersOnLine, vol. 55, no. 2, Elsevier BV, 2022, pp. 554–60, doi:10.1016/j.ifacol.2022.04.252.","ieee":"S. Koppert, C. Henke, A. Trächtler, and S. Möhringer, “Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data,” IFAC-PapersOnLine, vol. 55, no. 2, pp. 554–560, 2022, doi: 10.1016/j.ifacol.2022.04.252."},"volume":55,"type":"journal_article","date_created":"2022-11-02T17:19:30Z","language":[{"iso":"eng"}],"doi":"10.1016/j.ifacol.2022.04.252","department":[{"_id":"153"},{"_id":"241"}],"author":[{"first_name":"Steven","last_name":"Koppert","full_name":"Koppert, Steven"},{"full_name":"Henke, Christian","last_name":"Henke","first_name":"Christian"},{"last_name":"Trächtler","full_name":"Trächtler, Ansgar","id":"552","first_name":"Ansgar"},{"full_name":"Möhringer, Stefan","last_name":"Möhringer","first_name":"Stefan"}],"status":"public"}