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)
☆128Updated 11 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☆119Updated 3 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆141Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆69Updated last year
- A few shot learning repository for bearing fault diagnosis.☆103Updated 2 years ago
- ☆115Updated last year
- Using transformer to realize Bearing Fault Diagnosis☆69Updated 2 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆88Updated 10 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆40Updated 2 years ago
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆48Updated last year
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆107Updated last year
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆146Updated 8 months 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…☆80Updated 6 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆118Updated last year
- Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测）☆93Updated 6 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 4 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆46Updated 3 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆96Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆95Updated 8 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆62Updated 10 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆49Updated 10 months 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）☆95Updated 7 months ago
- ☆73Updated last year
- Code sharing of fault diagnosis papers.☆56Updated last year
- 基于深度学习的机械故障诊断☆38Updated last year
- Leveraging multiple deep learning models for fault diagnosis☆48Updated this week
- 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)☆68Updated 6 months ago
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆21Updated 9 months ago
- ☆36Updated 3 years ago