Gaussian Mixture Variational-Based Transformer Domain Adaptation Fault Diagnosis Method and Its Application in Bearing Fault Diagnosis.
Yiyao AnKe ZhangYi ChaiZhiqin ZhuQie LiuPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- fault diagnosis
- domain adaptation
- gaussian mixture
- monitoring and fault diagnosis
- power transformers
- expectation maximization
- em algorithm
- gaussian mixture model
- neural network
- probability density function
- closed form
- expert systems
- multiple sources
- fault detection
- image segmentation
- cross domain
- fuzzy logic
- semi supervised
- labeled data
- mixture model
- covariance matrix
- sentiment classification
- operating conditions
- density estimation
- incipient fault
- transfer learning
- generative model
- target domain
- semi supervised learning
- artificial intelligence
- condition monitoring
- control system
- image processing
- power plant
- principal component analysis
- power system
- unsupervised learning
- model selection
- training data