Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Original language	Undefined/Unknown
Title of host publication	KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022
Editors	Aidong Zhang, Huzefa Rangwala
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

Access to Document

Juodelyte, D., Cheplygina, V., Graversen, T., & Bonnet, P. (2022). Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. In A. Zhang, & H. Rangwala (Eds.), KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022 (pp. 3107-3115). Association for Computing Machinery. https://doi.org/10.1145/3534678.3539057

Juodelyte, Dovile ; Cheplygina, Veronika ; Graversen, Therese et al. / Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. editor / Aidong Zhang ; Huzefa Rangwala. Association for Computing Machinery, 2022. pp. 3107-3115

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title = "Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry",

author = "Dovile Juodelyte and Veronika Cheplygina and Therese Graversen and Philippe Bonnet",

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doi = "10.1145/3534678.3539057",

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pages = "3107--3115",

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Juodelyte, D , Cheplygina, V , Graversen, T & Bonnet, P 2022, Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. in A Zhang & H Rangwala (eds), KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. Association for Computing Machinery, pp. 3107-3115. https://doi.org/10.1145/3534678.3539057

Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. / Juodelyte, Dovile ; Cheplygina, Veronika ; Graversen, Therese et al.
KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. ed. / Aidong Zhang; Huzefa Rangwala. Association for Computing Machinery, 2022. p. 3107-3115.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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

PY - 2022

Y1 - 2022

U2 - 10.1145/3534678.3539057

DO - 10.1145/3534678.3539057

M3 - Konferencebidrag i proceedings

SP - 3107

EP - 3115

BT - KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022

A2 - Zhang, Aidong

A2 - Rangwala, Huzefa

PB - Association for Computing Machinery

ER -

Juodelyte D , Cheplygina V , Graversen T , Bonnet P. Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. In Zhang A, Rangwala H, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. Association for Computing Machinery. 2022. p. 3107-3115 doi: 10.1145/3534678.3539057