Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Originalsprog	Udefineret/Ukendt
Titel	KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022
Redaktører	Aidong Zhang, Huzefa Rangwala
Antal sider	9
Forlag	Association for Computing Machinery
Publikationsdato	2022
Sider	3107-3115
DOI	https://doi.org/10.1145/3534678.3539057
Status	Udgivet - 2022

Adgang til dokumentet

Juodelyte, D., Cheplygina, V., Graversen, T., & Bonnet, P. (2022). Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. I A. Zhang, & H. Rangwala (red.), KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022 (s. 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. red. / Aidong Zhang ; Huzefa Rangwala. Association for Computing Machinery, 2022. s. 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",

year = "2022",

doi = "10.1145/3534678.3539057",

language = "Udefineret/Ukendt",

pages = "3107--3115",

editor = "Aidong Zhang and Huzefa Rangwala",

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

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › 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. I Zhang A, Rangwala H, red., 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. s. 3107-3115 doi: 10.1145/3534678.3539057