liguge / Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosisLinks
Deep discriminative transfer learning network for cross-machine fault diagnosis
☆114Updated 10 months ago
Alternatives and similar repositories for Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosis
Users that are interested in Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosis are comparing it to the libraries listed below
Sorting:
- 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 …☆141Updated 7 months ago
- A few shot learning repository for bearing fault diagnosis.☆101Updated 2 years ago
- The intelligent fault diagnosis of HNU IDG☆113Updated 2 years ago
- ☆70Updated last year
- ☆47Updated 3 years ago
- 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）☆81Updated 5 months ago
- This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）☆110Updated 10 months ago
- Transfer learning☆57Updated 4 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆65Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆173Updated 4 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)☆61Updated 4 months ago
- ☆107Updated last year
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆37Updated 10 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆44Updated 2 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆100Updated last year
- ☆102Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆86Updated 6 months ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆58Updated 3 years ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆31Updated 2 years ago
- ☆28Updated 4 years ago
- The intelligent fault diagnosis methods of HNU IDG☆69Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆42Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆61Updated 8 months ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆94Updated 3 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆140Updated 6 months ago
- 一种轻量化故障诊断框架——LiConvFormer☆121Updated 10 months ago
- A transfer learning fault diagnosis repository covering popular algorithms☆312Updated last year
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆83Updated 8 months ago