AaronCosmos / wdcnn_bearning_fault_diagnosisLinks
wdcnn轴承故障模型
☆369Updated 7 years ago
Alternatives and similar repositories for wdcnn_bearning_fault_diagnosis
Users that are interested in wdcnn_bearning_fault_diagnosis are comparing it to the libraries listed below
Sorting:
- ☆210Updated 5 years ago
- CNN for mechanical fault diagnosis☆307Updated 7 years ago
- 基于深度学习的滚动轴承故障诊断方法☆193Updated 6 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆342Updated 2 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。☆127Updated 4 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆172Updated 3 years ago
- 智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)☆387Updated last month
- Bearing fault diagnosis model based on MCNN-LSTM☆352Updated 2 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆240Updated last month
- ☆105Updated 5 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆294Updated 4 years ago
- Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"☆700Updated 3 years ago
- A transfer learning fault diagnosis repository covering popular algorithms☆273Updated last year
- Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization☆459Updated 9 months ago
- 轴承故障检测 训练赛第30名代码☆131Updated 6 years ago
- ☆270Updated 7 years ago
- ☆60Updated 6 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。☆48Updated 2 years ago
- Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …☆478Updated 3 years ago
- Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction☆454Updated 4 years ago
- ☆99Updated 2 years ago
- 西储大学轴承数据集故障诊断的仿真平台☆118Updated last year
- 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 …☆129Updated 5 months ago
- with LSTM method to solve bearing fault diagnosis classification☆61Updated 7 years ago
- 使用TensorFlow建立简单的轴承故障诊断模型☆102Updated 7 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆260Updated 2 years ago
- ☆67Updated 4 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆43Updated 4 years ago
- Siamese network for bearing fault diagnosis☆88Updated 5 years 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)☆193Updated 5 years ago