yinjg1997 / Deep-Convolutional-Neural-Networks-with-Wide-First-layer-Kernels
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
Alternatives and similar repositories for Deep-Convolutional-Neural-Networks-with-Wide-First-layer-Kernels:
Users that are interested in Deep-Convolutional-Neural-Networks-with-Wide-First-layer-Kernels are comparing it to the libraries listed below
- ☆93Updated last year
- 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
- Using transformer to realize Bearing Fault Diagnosis☆59Updated 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 …☆108Updated 8 months ago
- Transfer learning☆49Updated 3 years ago
- ☆45Updated 2 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆16Updated 2 months ago
- 轴承故障诊断☆73Updated 2 years ago
- The intelligent fault diagnosis of HNU IDG☆85Updated 2 years ago
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆51Updated last year
- 基于深度学习的机械设备故障诊断方法研究☆28Updated 2 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆94Updated 2 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- A few shot learning repository for bearing fault diagnosis.☆77Updated last year
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆34Updated last year
- 机械故障诊断公开数据集☆45Updated last year
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆148Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆65Updated 9 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆39Updated last year
- 基于机器学习的机械故障诊断☆16Updated 11 months ago
- ☆95Updated 2 years ago
- 基于深度学习的滚动轴承故障诊断方法☆176Updated 5 years ago
- 实现的是WDCNN的pytorch版本代码,对应论文的第三章 data包含了四个数据文件夹,这里只使用了0HP文件夹中的数据,里面包含了正常、内圈、外圈、滚动体共10种状态 preprocess.py的功能是对数据进行采样、编码,虽然划分出来了验证集但是并没有使用 trai…☆23Updated 2 years ago
- ☆24Updated 3 years ago
- 西储大学轴承数据集故障诊断的仿真平台☆104Updated last year
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆49Updated 11 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆34Updated 2 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆211Updated last year
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆3Updated 2 months ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated 2 years ago