Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints.
Etienne CômeLatifa OukhellouThierry DenoeuxPatrice AkninPublished in: Pattern Anal. Appl. (2012)
Keyphrases
- fault diagnosis
- factor analysis
- semi supervised
- independent component analysis
- neural network
- fault detection
- expert systems
- fuzzy logic
- discriminant analysis
- power transformers
- blind source separation
- rotating machinery
- cluster analysis
- monitoring and fault diagnosis
- matrix factorization
- operating conditions
- chemical process
- statistical tests
- bp neural network
- electronic equipment
- fault detection and diagnosis
- multiple faults
- gas turbine
- analog circuits
- wavelet analysis
- multi sensor information fusion
- condition monitoring
- steady state
- labeled data
- tennessee eastman
- knowledge base
- learning algorithm