Alternatives and similar repositories for HUSTbearing-dataset:

Users that are interested in HUSTbearing-dataset are comparing it to the libraries listed below

• liguge / Maximum-mean-square-discrepancy
  Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
  ☆26Updated last year
• hectorLop / Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator
  Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…
  ☆33Updated 3 years ago
• Polimi-YuYue / MSIFT
  Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data
  ☆43Updated 10 months ago
• ShaneSpace / DGFDBenchmark
  This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis
  ☆70Updated last year
• Polimi-YuYue / MSI2DA-Net
  Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis
  ☆36Updated 7 months ago
• phoenixdyf / Theory-guided-Progressive-Transfer-Learning-Network
  Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
  ☆38Updated 2 years ago
• OneBugMaker / AET
  Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings
  ☆24Updated 8 months ago
• zhiqan / MIXCNN
  A fault diagnosis method for rotating machinery based on CNN with mixed information
  ☆38Updated last year
• Xiaohan-Chen / TFPred
  An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…
  ☆51Updated 6 months ago
• CHAOZHAO-1 / Dual-adversarial-network-for-cross-domain-open-set-fault-diagnosis
  [RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis
  ☆17Updated 10 months ago
• MASTER111363 / Cross-domain-bearing-fault-diagnosis-on-CWRU-dataset
  ☆45Updated 2 years ago
• CHAOZHAO-1 / Domain-generalization-fault-diagnosis-benchmark
  This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）
  ☆75Updated 2 months ago
• liguge / Variance-discrepancy-representation-pytorch
  Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis
  ☆19Updated 8 months ago
• ShaneSpace / MyResearchWorksPublic
  ☆52Updated last year
• Xiaohan-Chen / few-shot-fault-diagnosis
  A few shot learning repository for bearing fault diagnosis.
  ☆77Updated last year
• xiaoleimiao / UDTL_Lable_Inconsistent
  ☆23Updated 2 years ago
• 123EastGod / Novel-joint-transfer-network
  ☆22Updated last year
• fyancy / RaVEL
  Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis
  ☆24Updated 3 months ago
• anshulkulhari7 / Bearing-Fault-Diagnosis-using-Transfer-Learning
  ☆24Updated 3 years ago
• HymHust / fault_diagnosis_hym
  Code sharing of fault diagnosis papers.
  ☆47Updated last year
• zhiqan / Random-convolution-layer
  Random convolution layer: An auxiliary method to improve fault diagnosis performance
  ☆28Updated 5 months ago
• asdvfghg / ClassBD
  ☆40Updated 5 months ago
• zhanghuanwang1 / UDTL_multi_domain
  Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))
  ☆49Updated 3 years ago
• liguge / MIXCNN_pytorch
  A fault diagnosis method for rotating machinery based on CNN with mixed information
  ☆26Updated last year
• mohamedr002 / CCDG
  Conditional Contrastive Domain Generalization For Fault Diagnosis
  ☆32Updated last year
• liguge / MDPS_pytorch
  A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)
  ☆34Updated 2 years ago
• Fabian0597 / MMD_PHMS
  Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning
  ☆32Updated 2 years ago
• foryichuanqi / ADVEI-Paper-2023.11-Zero-shot-fault-diagnosis-by-attribute-fusion-transfer
  Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…
  ☆20Updated last year
• liguge / Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosis
  Deep discriminative transfer learning network for cross-machine fault diagnosis
  ☆94Updated 2 months ago
• fyancy / SSMN
  The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.
  ☆55Updated 3 years ago