renlikun1988 / 1D-CNN-for-CWRULinks
1D CNN for CWRU rolling bearings dataset
☆39Updated 6 years ago
Alternatives and similar repositories for 1D-CNN-for-CWRU
Users that are interested in 1D-CNN-for-CWRU are comparing it to the libraries listed below
Sorting:
- ☆60Updated 5 years ago
- 基于迁移学习的离心泵滚动轴承故障自动识别方法研究☆15Updated 5 years ago
- Siamese network for bearing fault diagnosis☆88Updated 5 years ago
- ☆104Updated 5 years ago
- Analysis of CWRU Bearing Data Set and Development of WeChat Mini Program Interface☆45Updated 3 years ago
- 轴承故障诊断☆88Updated 2 years ago
- Transfer learning☆50Updated 3 years ago
- 故障诊断方面的论文阅读☆16Updated 5 years ago
- New GAN models in dataset of CWRU☆39Updated 3 years ago
- 基于CNN、特征螺旋排列、奇异值分解、Hankel矩阵的故障诊断方法☆10Updated 5 years ago
- 基于深度学习的滚动轴承故障诊断方法☆191Updated 6 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆93Updated 5 years ago
- ☆23Updated 2 years ago
- ☆95Updated 2 years ago
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆52Updated last year
- with LSTM method to solve bearing fault diagnosis classification☆61Updated 7 years ago
- ☆21Updated 4 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 …☆121Updated 3 months ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆25Updated 5 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆73Updated 6 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。☆126Updated 4 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。☆46Updated 2 years ago
- 基于无监督和迁移学习的旋转机械故障诊断☆32Updated 5 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆163Updated 3 years ago
- Fault Diagnosis on Bearing Dataset☆32Updated 5 years ago
- ☆139Updated 7 years ago
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆54Updated 7 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆120Updated 4 years ago
- 采用一种包含加权水平可见图(WHVG)的图卷积网络(GCN),对采样的轴承震动时间序列数据分析,进行滚动轴承故障诊断。其中,对HVG中两节点的边,以节点距离的倒数作为权重进行加权,以削弱噪声节点对其他距离较远节点的影响。☆41Updated 2 years ago
- ☆208Updated 5 years ago