amnesiiac / ISEnet
a 1d attention CNN for signal classification written in tensorflow
☆11Updated 2 years ago
Alternatives and similar repositories for ISEnet:
Users that are interested in ISEnet are comparing it to the libraries listed below
- Comparing CNN+Softmax with CNN+SVM on CIFAR 10 Dataset☆14Updated 6 years ago
- In this Basic Tutorial, I have used 1DCNN for EEG classification using random dataset, You can use your own dataset☆19Updated 5 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 6 years ago
- This repository is used to share some works related to Paderborn Bearing Data☆9Updated 3 years ago
- The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…☆23Updated last year
- An Architecture Combining CNN and SVM for Image Classification☆17Updated 6 years ago
- deep learning methods for bearing fault diagnosis☆13Updated 6 years ago
- analog circuits fault diagnosis☆8Updated 7 years ago
- for de-noising☆32Updated 7 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 5 years ago
- 一维卷积神经网络☆39Updated 5 years ago
- “Detecting an object in an area based on the command given through speech using MFCC and HMM for Speech \& HOG and SVM for Image as Featu…☆12Updated 7 years ago
- using WGAN to generate fault bearing vibration signals☆50Updated 6 years ago
- Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM,…☆46Updated 6 years ago
- Simple one-dimensional data classification using LSTM, CNN, FC in Pytorch☆22Updated 5 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 6 years ago
- ☆9Updated 6 years ago
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆23Updated 4 years ago
- wdcnn model for bearing fault diagnosis☆32Updated 5 years ago
- about how to use CNN with one dimensional signal☆29Updated 6 years ago
- ☆9Updated 6 years ago
- The project aims to improve the accuracy of target recognition through multi-feature fusion.Including manual feature extraction, deep lea…☆11Updated 5 years ago
- This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existin…☆10Updated last year
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆21Updated 4 years ago
- 轴承有3种故障:外圈故障,内圈故障,滚珠故障,外加正常的工作状态。如表1所示,结合轴承的3种直径(直径1,直径2,直径3),轴承的工作状态有10类☆32Updated 5 years ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆20Updated 3 years ago
- This is a MATLAB project which can calculate EMD/EEMD☆79Updated 8 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 5 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆27Updated 4 years ago
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆93Updated 4 years ago