Zager-Zhang / Deep-learning-fault-detection
Fault detection based on deep learning(CWRU Dataset)基于深度学习的故障检测算法
☆21Updated last year
Related projects: ⓘ
- The intelligent fault diagnosis of HNU IDG☆69Updated last year
- ☆86Updated last year
- Using transformer to realize Bearing Fault Diagnosis☆47Updated last year
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆31Updated 3 years ago
- Transfer learning☆43Updated 3 years ago
- 帮同学做的轴承 故障检测的代码☆16Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆55Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆56Updated 4 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆28Updated last year
- ☆42Updated 2 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆27Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆17Updated last year
- 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。☆36Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆14Updated 8 months 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)☆43Updated last year
- ☆44Updated 8 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆78Updated 4 months ago
- 机械故障诊断公开数据集☆28Updated 9 months ago
- 基于深度学习的机械故障诊断☆21Updated 6 months ago
- ☆68Updated 2 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆57Updated 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…☆59Updated 4 months ago
- 轴承故障诊断☆50Updated 2 years ago
- The intelligent fault diagnosis methods of HNU IDG☆62Updated last year
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆45Updated 3 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 …☆100Updated 3 months ago
- ☆25Updated last year
- ☆22Updated 4 years ago
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测,持续更新)☆31Updated 5 months 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…☆21Updated last year