14 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.DB2024★ 2 cited
Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management
Fabian Mauthe, Christopher Braun, Julian Raible +2
Central to the efficacy of prognostics and health management methods is the acquisition and analysis of degradation data, which encapsulates the evolving health condition of engine…
cs.LG2023★ 14 cited
Automated Machine Learning for Remaining Useful Life Predictions
Marc-André Zöller, Fabian Mauthe, Peter Zeiler +2
Being able to predict the remaining useful life (RUL) of an engineering system is an important task in prognostics and health management. Recently, data-driven approaches to RUL pr…