Stern1996 / Bearing-Fault-DiagnosisLinks
☆103Updated 2 years ago
Alternatives and similar repositories for Bearing-Fault-Diagnosis
Users that are interested in Bearing-Fault-Diagnosis are comparing it to the libraries listed below
Sorting:
- ☆47Updated 3 years ago
- Transfer learning☆58Updated 4 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 …☆139Updated 8 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆114Updated 10 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- The intelligent fault diagnosis of HNU IDG☆113Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆101Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆42Updated 2 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
- ☆70Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆45Updated 3 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆252Updated 4 months ago
- ☆28Updated 4 years ago
- ☆111Updated 3 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆173Updated 4 years ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 years ago
- ☆86Updated 3 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆130Updated 5 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆65Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆38Updated 2 years ago
- The intelligent fault diagnosis methods of HNU IDG☆70Updated 2 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆58Updated 3 years ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆56Updated 4 years ago
- ☆21Updated 5 years ago
- ☆35Updated 2 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆141Updated 7 months ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆94Updated 3 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆43Updated 2 years ago