Automated Machine Learning for Remaining Useful Life Predictions. - Marc-André Zöller; Fabian Mauthe; Peter Zeiler; Marius Lindauer; Marco F. Huber (SMC, 2023)

Using Data From Similar Systems for Data-Driven Condition Diagnosis and Prognosis of Engineering Systems: A Review and an Outline of Future Research Challenges. - Marcel Braig; Peter Zeiler (IEEE Access, 2023)

A Comparative Study on Methods for Fusing Data-Driven and Physics-Based Models for Hybrid Remaining Useful Life Prediction of Air Filters. - Simon Hagmeyer; Peter Zeiler (IEEE Access, 2023)

A Study on the Effectiveness of Time Series Similarity Measures for the Comparison of Degradation Curves of Similar Engineering Systems. - Marcel Braig; Peter Zeiler (IEEE Access, 2024)

Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management. - Fabian Mauthe; Christopher Braun; Julian Raible; Peter Zeiler; Marco F. Huber (CoRR, 2024)

A Study on Using Transfer Learning to Utilize Information From Similar Systems for Data-Driven Condition Diagnosis and Prognosis. - Marcel Braig; Peter Zeiler (IEEE Access, 2025)