CQU-ZixuChen / MSGCN-CSPLinks
The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CSP).
☆17Updated last year
Alternatives and similar repositories for MSGCN-CSP
Users that are interested in MSGCN-CSP are comparing it to the libraries listed below
Sorting:
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆12Updated 7 months ago
- A Dual-View Network For Imbalanced Fault Diagnosis of Rotating Machinery☆11Updated last year
- Python code for TCTL method☆12Updated last year
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆17Updated last year
- Code for paper being submitted☆14Updated last week
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 7 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 4 months ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆19Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- 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
- Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis☆13Updated 3 months ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆19Updated 2 years ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- Source codes for the paper "Domain generalization for rotating machinery fault diagnosis: A survey" published in Advanced Engineering Inf…☆35Updated 6 months ago
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆13Updated last year
- A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis☆10Updated 6 months ago
- 一种用于复杂工况机械故障检测的GNN方法☆46Updated last year
- DMsrTTLN code☆18Updated 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
- SSGC: Synergistic Similarity Graph Construction for Steel Plate Fault Diagnosis with Graph Attention Networks☆21Updated 7 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆33Updated last year
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆31Updated 5 months ago
- Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machin…☆15Updated 11 months ago
- A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis☆38Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 10 months ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆44Updated 3 years ago
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆15Updated 4 months ago
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆23Updated last year
- This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据，振动信号+声音信号)☆20Updated 11 months ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆29Updated last year