HungVu307 / Few-shot-via-ensembling-Transformer-with-Mahalanobis-distanceLinks
[IEEE TIM] This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric Learning from Multiscale Features". IEEE Transactions on Instrumentation and Measurement (Accepted)
☆109Updated 6 months ago
Alternatives and similar repositories for Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance
Users that are interested in Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance are comparing it to the libraries listed below
Sorting:
- The intelligent fault diagnosis of HNU IDG☆106Updated 2 years 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…☆27Updated 3 weeks ago
- A few shot learning repository for bearing fault diagnosis.☆92Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆63Updated 11 months ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆92Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆109Updated 6 months ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆72Updated 5 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆106Updated 7 months ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 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）☆69Updated last month
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆133Updated 3 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- ☆99Updated 10 months ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 4 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆81Updated 2 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆41Updated 2 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆238Updated 3 weeks ago
- Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测）☆74Updated 2 weeks ago
- Code sharing of fault diagnosis papers.☆51Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 4 months ago
- ☆45Updated 3 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- ☆98Updated 2 years ago
- A modular framework for deep learning research in Prognostics and Health Management (PHM), enabling streamlined execution of key tasks su…☆29Updated 2 weeks 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 …☆127Updated 4 months ago
- ☆61Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆58Updated 3 years ago
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆41Updated last year
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆30Updated 2 years ago