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The Aramis Data Challenge: Prognostics and Health Management in Evolving Environments
Francesco Cannarile1,2,a, Michele Compare1,2,b, Piero Baraldi2,c, Zhe Yang1,3,d and Enrico Zio1,2,4,5,e
1Aramis Srl, Italy.
2Energy Department, Politecnico di Milano, Italy
3School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China
4MINES ParisTech, PSL Research University, France
5Department of Nuclear Engineering, Kyung Hee University, Republic of Korea
afrancesco.cannarile@aramis3d.com
bmichele.compare@aramis3d.com
cpiero.baraldi@polimi.it
dzhe.yang@polimi.it
eenrico.zio@polimi.it
ABSTRACT
The objective of the Aramis Data Challenge is the creation of a public benchmark dataset for the problem of fault detection in evolving environments. A multi-component system in which the degradation of one component accelerates the degradation processes of the other components, thus modifying their lifetime distributions and the statistical properties of the monitored signals over time is considered. Here, we provide details with respect to the Challenge definition, the data collection and the evaluation metric.
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