A New Bearing Fault Diagnosis Method Based on Fine-to-Coarse Multiscale Permutation Entropy, Laplacian Score and SVM.
Zhiqiang HuoYu ZhangLei ShuMichael GallimorePublished in: IEEE Access (2019)
Keyphrases
- coarse to fine
- multiscale
- coarse scale
- support vector machine svm
- edge detection
- support vector
- fine scale
- support vector machine
- scale space
- multiresolution
- svm classification
- knn
- information theory
- laplacian pyramid
- image segmentation
- svm classifier
- image processing
- information entropy
- multiscale analysis
- information theoretic
- feature selection
- training data
- wavelet transform
- image representation
- laplacian operator
- feature extraction
- classification method
- multi class
- multi class svm
- natural images
- machine learning
- training set
- differential operators
- zero crossing
- scoring function
- multi class classification
- generalization ability
- hyperplane
- image fusion
- wavelet domain
- sparse coding
- image registration
- classification algorithm
- object detection
- mutual information
- support vectors
- feature vectors
- high dimensional
- score function
- kernel function