Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry.

Dovile Juodelyte; Veronika Cheplygina; Therese Graversen; Philippe Bonnet

doi:10.1145/3534678.3539057

Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry.

Dovile Juodelyte, Veronika Cheplygina, Therese Graversen, Philippe Bonnet

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

8 Citations (Scopus)

Original language	English
Title of host publication	KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Number of pages	9
Publisher	Association for Computing Machinery
Publication date	2022
Pages	3107-3115
DOIs	https://doi.org/10.1145/3534678.3539057
Publication status	Published - 2022
Externally published	Yes

Bibliographical 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.

Access to Document

10.1145/3534678.3539057

Cite this

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

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