zhangjiali1201 / Keras_bearing_fault_diagnosis
☆199Updated 5 years ago
Alternatives and similar repositories for Keras_bearing_fault_diagnosis:
Users that are interested in Keras_bearing_fault_diagnosis are comparing it to the libraries listed below
- 基于深度学习的滚动轴承故障诊断方法☆176Updated 5 years ago
- wdcnn轴承故障模型☆353Updated 6 years ago
- CNN for mechanical fault diagnosis☆295Updated 6 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆148Updated 2 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆211Updated last year
- ☆59Updated 5 years ago
- with LSTM method to solve bearing fault diagnosis classification☆63Updated 7 years ago
- 毕设研究课题:根据轴承的振动序列数据来诊断轴承故障。☆121Updated 3 years ago
- ☆98Updated 5 years ago
- zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuInspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆108Updated 8 months ago
- 基于深度学习机械设备故障诊断模型☆160Updated 7 years ago
- 使用TensorFlow建立简单的轴承故障诊断模型☆100Updated 6 years ago
- Siamese network for bearing fault diagnosis☆85Updated 5 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆312Updated 2 years ago
- ☆93Updated last year
- Bearing fault diagnosis model based on MCNN-LSTM☆287Updated last year
- A transfer learning fault diagnosis repository covering popular algorithms☆216Updated 6 months ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆241Updated 2 years ago
- 西储大学轴承数据集故障诊断的仿真平台☆104Updated last year
- 轴承故障检测 训练赛第30名代码☆123Updated 5 years ago
- ☆137Updated 7 years ago
- CNN applied to bearing signals for analysis☆88Updated 5 years ago
- Fault Diagnosis on Bearing Dataset☆32Updated 5 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆276Updated 4 years ago
- 智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)☆326Updated 2 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)☆185Updated 5 years ago
- 轴承故障诊断☆73Updated 2 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆126Updated 3 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆38Updated 3 years ago
- 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。☆41Updated last year