Mahjong Tile Image Classification with Denoising CAE and CNN

Implementation of the stacked denoising autoencoder in Tensorflow

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…

和Image_Denoising相同的高斯噪声椒盐噪声数据集,深度卷积去噪自动编码器去噪

A python program to build ResNet-1D model and DRSN-1D model in keras environment.

Implementation of simple autoencoders networks with Keras

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现，该模型具有优越的抗噪能力，可用于轴承的智能故障诊断。

code:《基于深度卷积神经网络的图像去噪研究》

The deep residual shrinkage network is a variant of deep residual networks.

Vibrational Analysis for CWRU Bearing Dataset

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

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify t…

Transfer learning

Analysis of CWRU Bearing Data Set and Development of WeChat Mini Program Interface

Fault Diagnosis on Bearing Dataset

利用西储大学开源的轴承故障数据，开发简单的人工神经网络，以实现对轴承故障的检测及识别。

Siamese network for bearing fault diagnosis

wdcnn轴承故障模型

CNN for mechanical fault diagnosis

Code to go with the paper "A novel deep learning model for the detection and identification of rolling element bearing faults"

Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization

wdcnn model for bearing fault diagnosis

Bearing fault diagnosis model based on MCNN-LSTM