Standard
Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. / Juodelyte, Dovile; Cheplygina, Veronika; Graversen, Therese; Bonnet, Philippe.
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2022. p. 3107-3115.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Juodelyte, D, Cheplygina, V, Graversen, T
& Bonnet, P 2022,
Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. in
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, pp. 3107-3115.
https://doi.org/10.1145/3534678.3539057APA
Juodelyte, D., Cheplygina, V., Graversen, T.
, & Bonnet, P. (2022).
Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. In
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 3107-3115). Association for Computing Machinery.
https://doi.org/10.1145/3534678.3539057Vancouver
Juodelyte D, Cheplygina V, Graversen T
, Bonnet P.
Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. In KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2022. p. 3107-3115
https://doi.org/10.1145/3534678.3539057Author
Juodelyte, Dovile ; Cheplygina, Veronika ; Graversen, Therese ; Bonnet, Philippe. / Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2022. pp. 3107-3115
Bibtex
@inproceedings{a60f4b5962b942b5b8cbc110412003fa,
title = "Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry.",
author = "Dovile Juodelyte and Veronika Cheplygina and Therese Graversen and Philippe Bonnet",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",
year = "2022",
doi = "10.1145/3534678.3539057",
language = "English",
pages = "3107--3115",
booktitle = "KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining",
publisher = "Association for Computing Machinery",
}
RIS
TY - GEN
T1 - Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry.
AU - Juodelyte, Dovile
AU - Cheplygina, Veronika
AU - Graversen, Therese
AU - Bonnet, Philippe
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2022
Y1 - 2022
U2 - 10.1145/3534678.3539057
DO - 10.1145/3534678.3539057
M3 - Article in proceedings
SP - 3107
EP - 3115
BT - KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
PB - Association for Computing Machinery
ER -
