bighan123 / HNUIDG-Fault-Diagnosis-
The intelligent fault diagnosis of HNU IDG
☆77Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for HNUIDG-Fault-Diagnosis-
- ☆45Updated 2 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 …☆108Updated 5 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆91Updated 6 months ago
- ☆91Updated last year
- Transfer learning☆48Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆64Updated last year
- ☆48Updated 10 months ago
- A transfer learning fault diagnosis repository covering popular algorithms☆181Updated 3 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)☆47Updated last year
- Using transformer to realize Bearing Fault Diagnosis☆52Updated last year
- 基于机器学习的机械故障诊断☆13Updated 8 months ago
- The intelligent fault diagnosis methods of HNU IDG☆62Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆16Updated 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…☆81Updated 6 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 6 months ago
- ☆92Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆32Updated 2 years ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆34Updated 3 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆38Updated last year
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆32Updated 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
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆60Updated this week
- ☆68Updated 2 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆132Updated 3 years ago
- ☆11Updated last month
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆79Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆19Updated last year
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆48Updated 3 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆39Updated this week
- 基于注意力机制的少量样本故障诊断 pytorch☆200Updated last year