Alternatives and similar repositories for Bearing-Fault-Diagnosis-using-Transfer-Learning

Users that are interested in Bearing-Fault-Diagnosis-using-Transfer-Learning are comparing it to the libraries listed below

• zhangjunzhao-00 / DANN-Bearing-fault-diagnosis
  Transfer learning
  ☆58Updated 4 years ago
• MASTER111363 / Cross-domain-bearing-fault-diagnosis-on-CWRU-dataset
  ☆46Updated 3 years ago
• zhanghuanwang1 / UDTL_multi_domain
  Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))
  ☆56Updated 4 years ago
• NPUStarBoy / Deep-transfer-network-for-fault-diagnosis
  ☆21Updated 5 years ago
• zhiqan / MIXCNN
  A fault diagnosis method for rotating machinery based on CNN with mixed information
  ☆44Updated 2 years ago
• liguge / DLWCB
  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)
  ☆64Updated 5 months ago
• xiaoleimiao / UDTL_Lable_Inconsistent
  ☆27Updated 2 years ago
• Stern1996 / Bearing-Fault-Diagnosis
  ☆106Updated 2 years ago
• s-whynot / Transfer_Learning_Bearing_Fault
  ☆13Updated 2 months ago
• 123EastGod / Novel-joint-transfer-network
  ☆23Updated 2 years ago
• Fabian0597 / MMD_PHMS
  Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning
  ☆41Updated 2 years ago
• fyancy / SSMN
  The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.
  ☆62Updated 3 years ago
• liguge / GTFENet_pytorch
  GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis
  ☆39Updated 2 years ago
• zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu
  Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …
  ☆140Updated 8 months ago
• liguge / Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosis
  Deep discriminative transfer learning network for cross-machine fault diagnosis
  ☆115Updated 11 months ago
• Scallopwang / Rotating-machinery-fault-diagnosis-dataset
  It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…
  ☆23Updated 5 years ago
• WunaiDczh / Few_data_Learing
  ☆13Updated 3 years ago
• Xiaohan-Chen / few-shot-fault-diagnosis
  A few shot learning repository for bearing fault diagnosis.
  ☆101Updated 2 years ago
• liguge / MDPS_pytorch
  A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)
  ☆45Updated 3 years ago
• 123EastGod / Efficient-Transfer-Fault-Diagnosis--from-Steady-Speeds-to-Time-varying-Speeds
  ☆21Updated 2 years ago
• 123EastGod / MACGAN-for-fault-diagnosis
  ☆36Updated 2 years 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
  ☆42Updated 2 years ago
• zhiqan / AMPCNN
  A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism
  ☆36Updated 2 years ago
• mingzhangPHD / Few-shot-Learning-for-Fault-Diagnosis
  This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
  ☆94Updated 3 years ago
• liguge / MIXCNN_pytorch
  A fault diagnosis method for rotating machinery based on CNN with mixed information
  ☆32Updated 2 years ago
• mohamedr002 / AMDA
  This is an implementation of single source multiple target domain adaptation for fault diagnosis
  ☆48Updated 3 years ago
• bighan123 / HNUIDG-Fault-Diagnosis-
  The intelligent fault diagnosis of HNU IDG
  ☆117Updated 3 years ago
• Littleor / MLDSO
  Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" (MLDSO) which p…
  ☆34Updated 11 months ago
• Polimi-YuYue / MSIFT
  MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion
  ☆62Updated 8 months ago
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆129Updated 5 years ago