Field-Reliability Predictions Based on Statistical System Lifecycle Models. - Lukas Felsberger; Dieter Kranzlmüller; Benjamin Todd (CD-MAKE, 2018)

Cost and Availability Improvements for Fault-Tolerant Systems Through Optimal Load-Sharing Policies. - Lukas Felsberger; Benjamin Todd; Dieter Kranzlmüller (ANT/EDI40, 2019)

Power Converter Maintenance Optimization Using a Model-Based Digital Reliability Twin Paradigm. - Lukas Felsberger; Benjamin Todd; Dieter Kranzlmüller (ICSRS, 2019)

Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case. - Lukas Felsberger; Andrea Apollonio; Thomas Cartier-Michaud; Andreas Müller; Benjamin Todd; Dieter Kranzlmüller (CD-MAKE, 2020)

Example or Prototype? Learning Concept-Based Explanations in Time-Series. - Christoph Obermair; Alexander Fuchs 009; Franz Pernkopf; Lukas Felsberger; Andrea Apollonio; Daniel Wollmann (ACML, 2022)

Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities. - Christoph Obermair; Thomas Cartier-Michaud; Andrea Apollonio; William Millar; Lukas Felsberger; Lorenz Fischl; Holger Severin Bovbjerg; Daniel Wollmann; Walter Wuensch; Nuria Catalan Lasheras; Marçà Boronat; Franz Pernkopf; et al. (CoRR, 2022)