Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix.
Xin LiYu YangNiaoqing HuZhe ChengHaidong ShaoJunsheng ChengPublished in: Adv. Eng. Informatics (2022)
Keyphrases
- fault diagnosis
- maximum margin
- covariance matrix
- riemannian manifolds
- covariance matrices
- neural network
- hyperplane
- learning algorithm
- expert systems
- support vector
- principal component analysis
- sample size
- data fusion
- positive definite
- maximum likelihood
- support vector machine
- objective function
- euclidean space
- generalization error
- multiple kernel learning
- gaussian mixture
- high order
- principal components
- multi task
- computer vision
- linear classifiers
- similarity measure
- feature selection
- machine learning