Decentralized and Dynamic Fault Detection Using PCA and Bayesian Inference.
A. Sánchez-FernandezMaria J. FuenteGregorio Ismael Sainz PalmeroPublished in: ETFA (2018)
Keyphrases
- bayesian inference
- fault detection
- industrial processes
- prior information
- fault detection and isolation
- fault diagnosis
- probabilistic model
- fault identification
- bayesian model
- fault isolation
- principal component analysis
- tennessee eastman
- condition monitoring
- hierarchical bayesian
- variational bayes
- fuel cell
- feature extraction
- failure detection
- fault detection and diagnosis
- variational inference
- gibbs sampler
- fault localization
- power plant
- particle filter
- distributed systems
- k means
- machine learning
- robust fault detection