zhiqan / MIXCNNLinks
A fault diagnosis method for rotating machinery based on CNN with mixed information
☆42Updated last year
Alternatives and similar repositories for MIXCNN
Users that are interested in MIXCNN are comparing it to the libraries listed below
Sorting:
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 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
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆39Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- ☆11Updated last year
- 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 weeks ago
- ☆45Updated 3 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 4 months ago
- A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis☆10Updated 5 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- ☆33Updated 2 years ago
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- Transfer learning☆51Updated 3 years ago
- ☆25Updated 4 years ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆14Updated 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
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆32Updated 6 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆29Updated last year
- 基于机器学习的机械故障诊断☆18Updated last year
- An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions☆14Updated 10 months ago
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆21Updated last year
- Leveraging multiple deep learning models for fault diagnosis☆29Updated 2 months ago
- ☆20Updated 2 years ago
- A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis☆38Updated last year
- ☆23Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆79Updated 2 months ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆25Updated last year