A classification method to detect faults in a rotating machinery based on kernelled support tensor machine and multilinear principal component analysis.
Chaofan HuShuilong HeYanxue WangPublished in: Appl. Intell. (2021)
Keyphrases
- classification method
- principal component analysis
- rotating machinery
- fault diagnosis
- fault detection
- dimensionality reduction
- text classification
- knn
- high order
- k nearest neighbor
- higher order
- support vector machine svm
- classification scheme
- classification algorithm
- support vector machine
- linear discriminant analysis
- kernel principal component analysis
- data mining
- tensor decomposition
- tensor analysis
- nearest neighbor rule
- higher order singular value decomposition
- principal components
- discriminant analysis
- singular value decomposition
- face recognition
- nearest neighbor
- knowledge discovery
- pairwise
- higher order tensors