A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data.
Jinghui TianDongying HanHamid Reza KarimiYu ZhangPeiming ShiPublished in: Neural Networks (2024)
Keyphrases
- unsupervised clustering
- fault diagnosis
- incomplete data
- multi source
- missing data
- clustering method
- support vector
- unsupervised learning
- expert systems
- neural network
- feature set
- missing values
- labeled data
- em algorithm
- supervised learning
- prior knowledge
- pairwise
- bayesian networks
- similarity measure
- image segmentation
- decision making
- information retrieval