summer-xiahuayan / Bearing-Fault-DiagnosisLinks
Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN
☆39Updated last year
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:
- 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 9 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆115Updated 11 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated last year
- The intelligent fault diagnosis of HNU IDG☆117Updated 3 years ago
- Using transformer to realize Bearing Fault Diagnosis☆67Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆102Updated 2 years ago
- ☆46Updated 3 years ago
- Transfer learning☆60Updated 4 years ago
- xiaotianqu / The-unsupervised-bearing-fault-diagnosis-method-based-on-the-dual-framework-Siamese-networkFault diagnosis code based on twin network☆13Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆67Updated last year
- ☆73Updated last year
- ☆108Updated 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)☆65Updated 6 months ago
- ☆17Updated last month
- A transfer learning fault diagnosis repository covering popular algorithms☆324Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆62Updated 9 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。☆56Updated 2 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆189Updated 4 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆45Updated 3 years ago
- Leveraging multiple deep learning models for fault diagnosis☆48Updated 3 weeks ago
- This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）☆114Updated 11 months ago
- 基于注意力机制的少量样本故障诊断 pytorch☆263Updated 5 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆92Updated 7 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆39Updated 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☆58Updated 4 years ago
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆21Updated 9 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Updated 2 years ago
- The intelligent fault diagnosis methods of HNU IDG☆73Updated 3 years ago
- ☆111Updated last year
- ☆13Updated 4 months ago