[{"extern":"1","dc":{"date":["2019"],"relation":["info:eu-repo/semantics/altIdentifier/doi/10.1016/j.procir.2019.03.178","info:eu-repo/semantics/altIdentifier/issn/2212-8271"],"identifier":["https://ris.uni-paderborn.de/record/21616"],"title":["Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools"],"creator":["Seevers, J-P.","Johst, J.","Weiß, T.","Meschede, Henning","Hesselbach, J."],"source":["Seevers J-P, Johst J, Weiß T, Meschede H, Hesselbach J. Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools. Procedia CIRP. Published online 2019:695-700. doi:10.1016/j.procir.2019.03.178"],"rights":["info:eu-repo/semantics/closedAccess"],"type":["info:eu-repo/semantics/article","doc-type:article","text","http://purl.org/coar/resource_type/c_6501"],"language":["eng"]},"user_id":"86954","author":[{"last_name":"Seevers","first_name":"J-P."},{"last_name":"Johst","first_name":"J."},{"first_name":"T.","last_name":"Weiß"},{"last_name":"Meschede","id":"86954","first_name":"Henning"},{"first_name":"J.","last_name":"Hesselbach"}],"publication":"Procedia CIRP","publication_status":"published","dini_type":"doc-type:article","publication_identifier":{"issn":[]},"status":"public","date_created":"2021-04-13T10:26:57Z","date_updated":"2022-03-29T08:36:50Z","_id":"21616","creator":{"login":"heme","id":"86954"},"type":"journal_article","citation":{"short":"J.-P. Seevers, J. Johst, T. Weiß, H. Meschede, J. Hesselbach, Procedia CIRP (2019) 695–700.","ieee":"J.-P. Seevers, J. Johst, T. Weiß, H. Meschede, and J. Hesselbach, “Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools,” Procedia CIRP, pp. 695–700, 2019, doi: 10.1016/j.procir.2019.03.178.","chicago":"Seevers, J-P., J. Johst, T. Weiß, Henning Meschede, and J. Hesselbach. “Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools.” Procedia CIRP, 2019, 695–700. https://doi.org/10.1016/j.procir.2019.03.178.","apa":"Seevers, J.-P., Johst, J., Weiß, T., Meschede, H., & Hesselbach, J. (2019). Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools. Procedia CIRP, 695–700. https://doi.org/10.1016/j.procir.2019.03.178","bibtex":"@article{Seevers_Johst_Weiß_Meschede_Hesselbach_2019, title={Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools}, DOI={10.1016/j.procir.2019.03.178}, journal={Procedia CIRP}, author={Seevers, J-P. and Johst, J. and Weiß, T. and Meschede, Henning and Hesselbach, J.}, year={2019}, pages={695–700} }","mla":"Seevers, J. P., et al. “Automatic Time Series Segmentation as the Basis for Unsupervised, Non-Intrusive Load Monitoring of Machine Tools.” Procedia CIRP, 2019, pp. 695–700, doi:10.1016/j.procir.2019.03.178."},"uri_base":"https://ris.uni-paderborn.de","page":"695-700","language":[{}]}]