meitetsu3 / 1DCNNLinks
Explanation of 1D CNN
☆60Updated 7 years ago
Alternatives and similar repositories for 1DCNN
Users that are interested in 1DCNN are comparing it to the libraries listed below
Sorting:
- Encoding time series as images using GAF operation by pyts.☆227Updated 3 years ago
- ☆34Updated 5 years ago
- 基于一维卷积神经网络(1D-CNN)的多元时间序列分类☆80Updated 5 years ago
- ☆92Updated 4 years ago
- pytorch >>> 快速搭建自己的模型!☆126Updated 3 years ago
- implementation of several GANs with pytorch☆164Updated 3 years ago
- Variational Mode Decomposition for Python☆61Updated 5 years ago
- using WGAN to generate fault bearing vibration signals☆51Updated 7 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- 用GAN生成一维数据☆124Updated 5 years ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆26Updated 5 years ago
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆94Updated 11 months ago
- [深度应用]·DC竞赛轴承故障检测开源Baseline(基于Keras1D卷积 val_acc:0.99780)☆203Updated 6 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆27Updated 6 years ago
- 一维卷积神经网络☆42Updated 6 years ago
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆70Updated 7 years ago
- 轴承故障检测 训练赛第30名代码☆136Updated 6 years ago
- LSTM + Wavelet(长短期记忆神经网络+小波分析):深度学习与数字信号处理的结合☆185Updated 6 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆47Updated 7 years ago
- Multiclass classification of vibration signals of faulty bearings☆101Updated 6 years ago
- CNN applied to bearing signals for analysis☆92Updated 6 years ago
- Empirical wavelet transform (EWT) in Python☆96Updated 5 years ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆26Updated 2 years ago
- TE data diagnosis using pytorch☆20Updated 6 years ago
- ☆141Updated 8 years ago
- Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"☆32Updated 5 years ago
- 利用深度学习自编码器进行故障诊断的程序☆10Updated 7 years ago
- This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection a…☆53Updated 4 years ago
- The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…☆24Updated last year
- Siamese network for bearing fault diagnosis☆92Updated 5 years ago