Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals.
Tshilidzi MarwalaUnathi MaholaFulufhelo V. NelwamondoPublished in: IJCNN (2006)
Keyphrases
- hidden markov models
- fault detection
- gaussian mixture model
- mixture model
- fault diagnosis
- speaker recognition
- em algorithm
- speech recognition
- feature vectors
- expectation maximization
- fault detection and diagnosis
- maximum likelihood
- probability density function
- gaussian mixture
- power plant
- speaker identification
- density estimation
- sequential data
- baum welch
- automatic speech recognition
- feature space
- maximum likelihood estimation
- model selection
- image processing
- artificial intelligence