DABINB / CSST-Net
This study proposes a high-precision multisensor feature fusion fault diagnosis method. The method is based on the lightweight spatial enhancement convolutional module (SConv) with channel shuffling and combined with vision transformer (CSST-Net).
☆10Updated 3 months ago
Alternatives and similar repositories for CSST-Net:
Users that are interested in CSST-Net are comparing it to the libraries listed below
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆17Updated last year
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆11Updated 3 weeks ago
- ☆21Updated 2 years ago
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 4 months ago
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆11Updated 3 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆40Updated last month
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆25Updated last month
- Code for paper: Scale-information fused correntropy representation for mechanical fault diagnosis under time-varying conditions☆14Updated 7 months ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆32Updated 2 years ago
- 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)☆17Updated 8 months ago
- ☆20Updated 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☆34Updated last year
- code for DFAWnet☆33Updated last year
- ☆33Updated 2 years ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆26Updated last year
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆14Updated last year
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated 10 months ago
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆52Updated last month
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆17Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆22Updated last year
- Python code for TCTL method☆11Updated 9 months ago
- Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machin…☆13Updated 8 months ago
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆25Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆29Updated 7 months ago
- Code sharing of fault diagnosis papers.☆47Updated last year
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆11Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆41Updated last year