A novel aircraft fault diagnosis and prognosis system based on Gaussian Mixture Models.
Zefeng WangJean-Luc ZaraderSylvain ArgentieriPublished in: ICARCV (2012)
Keyphrases
- fault diagnosis
- gaussian mixture model
- mixture model
- expert systems
- neural network
- fault detection
- feature vectors
- fuzzy logic
- bp neural network
- speaker recognition
- electronic equipment
- expectation maximization
- em algorithm
- feature space
- rotating machinery
- power transformers
- chemical process
- fault detection and diagnosis
- maximum likelihood
- multiple faults
- operating conditions
- rbf neural network
- speaker identification
- probability density function
- gas turbine
- condition monitoring
- analog circuits
- failure diagnosis
- monitoring and fault diagnosis
- fault diagnostic
- multi sensor information fusion
- power plant
- real time
- probabilistic model
- similarity measure
- face recognition
- feature selection
- artificial intelligence