TxgStars / wdcnnLinks
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 train.py定义了用于模型训练以及显示的函数和类 main.py定义了网络模型,调用另外两个py文件获取数据和进行训练 直接运行main.py文件即可得到的结果
☆23Updated 2 years ago
Alternatives and similar repositories for wdcnn
Users that are interested in wdcnn are comparing it to the libraries listed below
Sorting:
- ☆61Updated last year
- The intelligent fault diagnosis of HNU IDG☆106Updated 2 years ago
- The intelligent fault diagnosis methods of HNU IDG☆68Updated 2 years ago
- A transfer learning fault diagnosis repository covering popular algorithms☆270Updated 11 months 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 …☆127Updated 4 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆106Updated 7 months ago
- ☆86Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆92Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆162Updated 4 years ago
- ☆45Updated 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。☆47Updated 2 years ago
- This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和…☆305Updated 2 weeks ago
- ☆98Updated 2 years ago
- Transfer learning☆52Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- ☆99Updated 10 months ago
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆27Updated 3 weeks 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)☆55Updated last month
- This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research(实验室自采轴承开源数据集,包含稳定转速和时变转速)☆69Updated last month
- 基于注意力机制的少量样本故障诊断 pytorch☆238Updated 3 weeks ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆42Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆63Updated 11 months ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆31Updated 7 months ago
- ☆45Updated 4 years ago
- Leveraging multiple deep learning models for fault diagnosis☆29Updated 3 months ago
- This is a benckmark for domain generalization-based fault diagnosis (基于领域泛化的相关代码)☆94Updated 7 months ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆57Updated 3 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆92Updated 3 years ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 years ago
- 机械故障诊断公开数据集☆58Updated last year