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

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
Event	Conference on Knowledge Discovery and Data Mining - Washington DC, United States Duration: 14 Aug 2022 → 18 Aug 2022 Conference number: 28 https://dl.acm.org/doi/proceedings/10.1145/3534678

Conference

Conference	Conference on Knowledge Discovery and Data Mining
Number	28
Country/Territory	United States
City	Washington DC
Period	14/08/2022 → 18/08/2022
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3534678

Access to Document

10.1145/3534678.3539057

Cite this

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

publisher = "Association for Computing Machinery",

address = "USA",

note = "Conference on Knowledge Discovery and Data Mining ; Conference date: 14-08-2022 Through 18-08-2022",

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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, Conference on Knowledge Discovery and Data Mining, Washington DC, United States, 14/08/2022. 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

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T1 - Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry

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AU - Graversen, Therese

AU - Bonnet, Philippe

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PY - 2022

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

A2 - Zhang, Aidong

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PB - Association for Computing Machinery

T2 - Conference on Knowledge Discovery and Data Mining

Y2 - 14 August 2022 through 18 August 2022

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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