Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case.
Lukas FelsbergerAndrea ApollonioThomas Cartier-MichaudAndreas MüllerBenjamin ToddDieter KranzlmüllerPublished in: CD-MAKE (2020)
Keyphrases
- complex systems
- deep learning
- fault detection
- fault diagnosis
- dynamic systems
- unsupervised learning
- unsupervised feature learning
- machine learning
- deep architectures
- mental models
- multi agent systems
- weakly supervised
- physical systems
- decision making
- biological systems
- steady state simulation
- neural network
- object detection
- training set