Code implementation of a simple classifier for Bearing Fault Diagnosis (BFD), based on the "Intra and Inter Wavelet-subband Sparse Model for Bearing Fault Diagnosis" proposed in the related paper. The repository adopts SVM (Support Vector Machine) and Random Forest as core classification models, providing a lightweight reference for reproducing wavelet-based bearing fault diagnosis tasks.
-
Notifications
You must be signed in to change notification settings - Fork 0
cyfbxl/Code-implementation-of-a-simple-classifier
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Code implementation of a simple classifier for Bearing Fault Diagnosis (BFD), based on the "Intra and Inter Wavelet-subband Sparse Model"
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published