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Limited Data Rolling Bearing Fault Diagnosis With Few Shot Learning ⭐ 112

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

Cbm_codes_open ⭐ 58

This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.

Data_driven_features_ims ⭐ 12

Multiclass bearing fault classification using features learned by a deep neural network.

Vibration Based Fault Diagnosis With Low Delay ⭐ 9

Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.

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