PCA in a Bayesian framework for fault detection.
Mohamed Amine AtouiSylvain VerronAbdessamad KobiPublished in: ICCA (2014)
Keyphrases
- bayesian framework
- fault detection
- principal component analysis
- fault diagnosis
- prior knowledge
- fault identification
- industrial processes
- posterior probability
- generative model
- tennessee eastman
- dimensionality reduction
- face recognition
- fault detection and diagnosis
- gaussian process
- condition monitoring
- face images
- high dimensional
- failure detection
- expectation maximization
- probability density function
- posterior distribution
- feature extraction
- maximum a posteriori
- fuel cell
- prior distribution
- bayesian formulation
- robust fault detection
- neural network
- artificial intelligence
- feature space
- markov chain
- higher order
- image processing
- data driven markov chain monte carlo