CHAOZHAO-1 / Dual-adversarial-network-for-cross-domain-open-set-fault-diagnosisLinks
[RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis
☆21Updated last year
Alternatives and similar repositories for Dual-adversarial-network-for-cross-domain-open-set-fault-diagnosis
Users that are interested in Dual-adversarial-network-for-cross-domain-open-set-fault-diagnosis are comparing it to the libraries listed below
Sorting:
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 4 months ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆30Updated 2 years ago
- [MSSP 2023] Mutual-assistance semisupervised domain generalization network for intelligent fault diagnosis under unseen working condition…☆12Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 4 months ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆26Updated last year
- [MSSP] Dual Disentanglement Domain Generalization Method for Rotating Machinery Fault Diagnosis☆15Updated last week
- [AEI 2024] Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis☆23Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 10 months ago
- Source codes for the paper "Domain generalization for rotating machinery fault diagnosis: A survey" published in Advanced Engineering Inf…☆35Updated 6 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆31Updated 5 months ago
- ☆13Updated 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
- Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machin…☆15Updated 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
- A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis☆10Updated 6 months ago
- A Multi-source Cross-speed Bearing Fault Diagnosis Method☆12Updated 6 months ago
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆22Updated last year
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆34Updated 3 years ago
- DMsrTTLN code☆18Updated 10 months ago
- [RESS 2022] Adaptive open set domain generalization network: Learning to diagnose unknown faults under unknown working conditions☆11Updated 8 months ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆41Updated 2 years ago
- ☆46Updated 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
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆17Updated last year
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆19Updated last year
- This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）☆94Updated 7 months ago
- This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research（实验室自采轴承开源数据集，包含 稳定转速和时变转速）☆69Updated last month
- A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis☆38Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year