Analysis of the applicability of fault detection and failure prediction based on unsupervised learning and Monte Carlo simulations for real devices in the industrial automobile production.
Jonathan Manrique GarayChristian DiedrichPublished in: INDIN (2019)
Keyphrases
- fault detection
- unsupervised learning
- monte carlo simulation
- failure prediction
- industrial processes
- fault diagnosis
- data analysis
- expert systems
- monte carlo
- machine learning
- supervised learning
- condition monitoring
- robust fault detection
- fault identification
- failure detection
- data fusion
- decision support system
- decision making