liguge / Variance-discrepancy-representation-pytorchLinks
Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis
☆21Updated last year
Alternatives and similar repositories for Variance-discrepancy-representation-pytorch
Users that are interested in Variance-discrepancy-representation-pytorch are comparing it to the libraries listed below
Sorting:
- Source codes for the paper "Domain generalization for rotating machinery fault diagnosis: A survey" published in Advanced Engineering Inf…☆30Updated 5 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 3 months ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆29Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆31Updated last year
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 3 months ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 3 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- [RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis☆20Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 9 months ago
- DMsrTTLN code☆18Updated 9 months ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆25Updated last year
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- ☆25Updated 2 years 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☆42Updated last year
- 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
- ☆23Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆38Updated 2 years ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆17Updated 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)☆18Updated 10 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- Code for paper being submitted☆14Updated last month
- Python code for TCTL method☆12Updated 11 months ago
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆12Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- ☆44Updated 2 months ago
- [MSSP 2023] Mutual-assistance semisupervised domain generalization network for intelligent fault diagnosis under unseen working condition…☆12Updated last year
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆15Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆29Updated last year