zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu
Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.
☆119Updated 2 months ago
Alternatives and similar repositories for A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu:
Users that are interested in A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu are comparing it to the libraries listed below
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆99Updated 4 months ago
- A few shot learning repository for bearing fault diagnosis.☆86Updated last year
- Transfer learning☆50Updated 3 years ago
- ☆95Updated 2 years ago
- The intelligent fault diagnosis of HNU IDG☆97Updated 2 years ago
- ☆45Updated 3 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆24Updated 5 months ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆155Updated 4 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆41Updated 3 years ago
- Using transformer to realize Bearing Fault Diagnosis☆62Updated 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…☆9Updated 4 months ago
- ☆57Updated last year
- 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)☆52Updated last year
- ☆14Updated 2 weeks ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆56Updated 9 months ago
- A transfer learning fault diagnosis repository covering popular algorithms☆245Updated 9 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆74Updated last week
- 一种轻量化故障诊断框架——LiConvFormer☆100Updated 4 months 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。☆45Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆52Updated 3 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆119Updated 4 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆88Updated 2 years ago
- ☆102Updated 2 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆67Updated 2 months ago
- 基于注意力机制的少量样本故障诊断 pytorch☆223Updated last year
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆52Updated last year
- The intelligent fault diagnosis methods of HNU IDG☆68Updated 2 years ago
- ☆24Updated 4 years ago
- Siamese network for bearing fault diagnosis☆87Updated 5 years ago
- 轴承故障诊断☆84Updated 2 years ago