cai-lhui

TransferFaultDiagnosis

Project about bearing fault diagnosis using transfer learning.

bear_fault_diagnose

use deep learning technology to train a CNN model, then deploy this model in an embedded linux device to diagnose the real time signal which is sampled in the train .it include 3 parts,embedded device ,web service and model train.

bearing_detection_by_conv1d

cai-lhui

Config files for my GitHub profile.

CNNs-tSNE

Con2D, need update

Diagnose-Transformer-DBN

This is deep belief network implementation to diagnose transformer fault

GAN-1D

using WGAN to generate fault bearing vibration signals

MRCNN-LSTM-A-Hybrid-Approach-of-Multi-scale-Residual-CNN-and-LSTM-to-Predict-Bitcoin-Price

MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price

SensorFusion_CNN

This is the Repository for the project with the theme "Sensor Fusion through Feature Embedding in Convolutional Neural Networks".

Transfer-Learning-for-Fault-Diagnosis

This repository is for the transfer learning or domain adaptive with fault diagnosis.

wdcnn_bearning_fault_diagnosis

wdcnn轴承故障模型

yang

start tests