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Code implementation of a simple classifier for Bearing Fault Diagnosis (BFD), based on the "Intra and Inter Wavelet-subband Sparse Model"

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Code-implementation-of-a-simple-classifier

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.

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Code implementation of a simple classifier for Bearing Fault Diagnosis (BFD), based on the "Intra and Inter Wavelet-subband Sparse Model"

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