A novel bearing fault diagnosis approach using the Gaussian mixture model and the weighted principal component analysis.
Amir Eshaghi ChaleshtoriAbdollah AghaiePublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- gaussian mixture model
- fault diagnosis
- monitoring and fault diagnosis
- principal component analysis
- feature space
- mixture model
- expert systems
- fuzzy logic
- neural network
- feature vectors
- fault detection
- em algorithm
- operating conditions
- gas turbine
- speaker recognition
- condition monitoring
- independent component analysis
- electronic equipment
- dimensionality reduction
- maximum likelihood
- background subtraction
- chemical process
- rotating machinery
- fault detection and diagnosis
- speaker identification
- expectation maximization
- covariance matrix
- power transformers
- multiple faults
- artificial intelligence
- face recognition
- face images
- active learning
- multi sensor information fusion
- tennessee eastman
- probabilistic model
- feature selection
- information retrieval