OzerCanDevecioglu / Zero-Shot-Bearing-Fault-Detection-by-Blind-Domain-Transition
☆34Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for Zero-Shot-Bearing-Fault-Detection-by-Blind-Domain-Transition
- This is the code of paper "A Label Information Vector Generative Zero-shot Model for the Diagnosis of Compound Faults"☆16Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆21Updated last year
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆40Updated 7 months ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆25Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆32Updated 2 years ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆29Updated 2 years ago
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆15Updated last year
- ☆21Updated last year
- ☆23Updated 3 years ago
- ☆28Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 6 months ago
- ☆36Updated 2 months ago
- ☆48Updated 10 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- Transfer learning☆47Updated 3 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆31Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆53Updated 2 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆52Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆30Updated last year
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆26Updated 2 years ago
- [RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis☆14Updated 7 months ago
- Capsule network for fault diagnosis (胶囊网络用于故障诊断)☆28Updated last year
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆42Updated 2 years ago
- ☆21Updated last year
- ☆45Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆63Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆16Updated 10 months ago
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆18Updated 11 months ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆17Updated last year
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆58Updated 10 months ago