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

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

Bearing fault detection public datasets collection.

A comprehensive benchmark of 16 Deep Learning models (including ResNet, LSTM, Transformer, DenseNet) for CWRU Bearing Fault Diagnosis using PyTorch.

采样频率12kHz的驱动端故障数据--CWRU凯斯西储大学故障诊断实验数据集

【移动互联网应用课程设计】第五组CWRU项目汇总

🧠 [Signal] Fault-specific vibration signal generation using WGAN-CGAN

对cwru数据集实现四种时频分析方法，为使用图像分类模型完成数据预处理工作

Awesome Deep Fault Diagnosis

a bearing fault diagnosis based on deep learning using CNN, Transformer and NoiseAug on the CWRU dataset.

Final paper for EECS 338, taught by Dr. Loui in Fall 2019.

CWRU 2016 - Senior Project

repo for big data analysis final project （rul prediction + fault classification)

🚨 [Signal] Deep learning-based fault classification of vibration signals using CNN

基于 CWRU 真实轴承振动数据的电机故障诊断系统:时频域特征工程 + 随机森林/1D-CNN 双范式对比,含跨负载泛化与抗噪鲁棒性评估 | Bearing fault diagnosis on CWRU vibration data — feature engineering, RandomForest vs 1D-CNN, cross-load & noise-robustness evaluation

CWRU Operating Systems Course

CWRU Graphics Course

A collaborative repo for written assignments issued by Dr. Koyutürk in CSDS 313: Data Analysis during Fall 2020 semester.

A collaborative repo for written assignments issued by Dr. Guo in MATH 307: Linear Algebra during Spring 2021 semester.