lyzl2010 / Few-shot-via-ensembling-Transformer-with-Mahalanobis-distanceLinks
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)
☆10Updated last year
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:
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- Fault detection and diagnosis for dynamic system based on GAN and independent subspace reconstruction☆9Updated last year
- Using transformer to realize Bearing Fault Diagnosis☆62Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 3 months ago
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- This repository contains the implementation of the model for bearing fault diagnosis,also includes five comparison models for performance…☆14Updated 3 months ago
- Leveraging multiple deep learning models for fault diagnosis☆29Updated last month
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆28Updated 6 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- 基于深度学习的机械故障诊断☆34Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆58Updated 10 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆38Updated 2 years ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆36Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆78Updated last month
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- ☆13Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 9 months ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆12Updated 3 months ago
- An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions☆12Updated 9 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 3 months ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆17Updated last year
- ☆44Updated 2 months ago
- 基于机器学习的机械故障诊断☆18Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆14Updated last year
- ☆33Updated 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)☆53Updated 2 years ago
- ☆45Updated 3 years ago