2 papers
cs.DB2026
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.LG2025
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…