Alternatives and similar repositories for bearing-fault-diagnosis

Users that are interested in bearing-fault-diagnosis are comparing it to the libraries listed below

• Zichen-Yan / Fault-diagnosis
  Fault Diagnosis on Bearing Dataset
  ☆32Updated 5 years ago
• bhushangawde / Fault-Diagnosis-of-Roller-Bearings
  ☆23Updated 3 years ago
• AiZhanghan / deep-learning-fault-diagnosis
  ☆60Updated 6 years ago
• MrTangsai / BearLSTM
  with LSTM method to solve bearing fault diagnosis classification
  ☆61Updated 7 years ago
• monologuesmw / bearing-fault-diagnosis-cnn
  Siamese network for bearing fault diagnosis
  ☆88Updated 5 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆46Updated 7 years ago
• Gearboxdata / Gear-Box-Fault-Diagnosis-Data-Set
  : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…
  ☆55Updated 7 years ago
• cyrilli / SSVAE
  try out bearing fault diagnosis with semi-supervised vae
  ☆39Updated 7 years ago
• ddrrrr / project_FD
  deep learning methods for bearing fault diagnosis
  ☆13Updated 6 years 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…
  ☆21Updated 5 years ago
• nicolasoyharcabal / ConvRNN_for_RUL_estimation
  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
  ☆83Updated 6 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆26Updated 5 years ago
• monologuesmw / bearing-fault-diagnosis-by-wdcnn
  wdcnn model for bearing fault diagnosis
  ☆33Updated 5 years ago
• zhangjunzhao-00 / DANN-Bearing-fault-diagnosis
  Transfer learning
  ☆53Updated 3 years ago
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆127Updated 5 years ago
• ziapple / fd-dann
  基于迁移学习DANN模型，对不同工况轴承进行故障诊断
  ☆43Updated 4 years ago
• mohamedr002 / AMDA
  This is an implementation of single source multiple target domain adaptation for fault diagnosis
  ☆47Updated 3 years ago
• alliens / -
  基于迁移学习的离心泵滚动轴承故障自动识别方法研究
  ☆15Updated 5 years ago
• denggang123 / fault_diagnosis_spiral_CNN
  基于CNN、特征螺旋排列、奇异值分解、Hankel矩阵的故障诊断方法
  ☆10Updated 5 years ago
• mingzhangPHD / Transfer-Learning-for-Fault-Diagnosis
  This repository is for the transfer learning or domain adaptive with fault diagnosis.
  ☆260Updated 2 years ago
• kidozh / prognostic_and_rul_prediction_of_bearing_data
  One model for RUL and fault prognostic prediction on XJTU bearing dataset
  ☆95Updated 5 years ago
• ZhaoZhibin / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆19Updated 5 years ago
• zhangjiali1201 / Keras_bearing_fault_diagnosis
  ☆210Updated 5 years ago
• Stern1996 / Bearing-Fault-Diagnosis
  ☆99Updated 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 …
  ☆129Updated 5 months ago
• mingzhangPHD / Few-shot-Learning-for-Fault-Diagnosis
  This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
  ☆93Updated 3 years ago
• HydraHuYu / MyProgrom
  bearing fault diagnosis
  ☆8Updated 5 years ago
• win-z / diagnosis_of_rotating_machinery
  基于无监督和迁移学习的旋转机械故障诊断
  ☆32Updated 5 years ago
• raady07 / CNN-for-bearing-fault-diagnosis
  CNN applied to bearing signals for analysis
  ☆89Updated 5 years ago
• zhanghuanwang1 / UDTL_multi_domain
  Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))
  ☆55Updated 3 years ago