Alternatives and similar repositories for SSVAE

Users that are interested in SSVAE are comparing it to the libraries listed below

• ddrrrr / bearing-fault-diagnosis
  domain adaption with LSGAN for bearing fault diagnosis
  ☆78Updated 7 years ago
• bhushangawde / Fault-Diagnosis-of-Roller-Bearings
  ☆23Updated 3 years ago
• ninja1mmm / 2018-phm-data-challenge
  2018 phm data challenge, ion mill machine RUL & fault diagnosis
  ☆70Updated 7 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆47Updated 7 years ago
• MrTangsai / BearLSTM
  with LSTM method to solve bearing fault diagnosis classification
  ☆63Updated 8 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆27Updated 6 years ago
• AiZhanghan / deep-learning-fault-diagnosis
  ☆64Updated 6 years ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆20Updated 6 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆92Updated 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 6 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
  ☆33Updated 5 years ago
• ZhaoZhibin / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆19Updated 5 years ago
• nicolasoyharcabal / ConvRNN_for_RUL_estimation
  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
  ☆85Updated 7 years ago
• xujiachang1024 / Fault-Diagnosis-with-ML
  Fault Diagnosis with Machine Learning Methods, the dissertation project of my MSc Data Science degree at King's College London
  ☆11Updated 6 years ago
• fboldt / signalProcessing
  Experiments performed to analyse the CNN on the CWRU data set.
  ☆14Updated 5 years ago
• raady07 / CNN-for-bearing-fault-diagnosis
  CNN applied to bearing signals for analysis
  ☆92Updated 6 years ago
• monologuesmw / bearing-fault-diagnosis-cnn
  Siamese network for bearing fault diagnosis
  ☆92Updated 5 years ago
• cookieli / Bearing_detect
  利用深度学习自编码器进行故障诊断的程序
  ☆10Updated 7 years ago
• tilman151 / DomainAdaption_PHM2020
  Code and supplementary material for ICPHM2020
  ☆26Updated 5 years ago
• kidozh / prognostic_and_rul_prediction_of_bearing_data
  One model for RUL and fault prognostic prediction on XJTU bearing dataset
  ☆98Updated 6 years ago
• s-whynot / Transfer_Learning_Bearing_Fault
  ☆13Updated 4 months ago
• StepyHan / Domain-adaptation-for-fault-diagnosis
  ☆11Updated 7 years ago
• ZhaoZhibin / Basic-Rotating-Machine-Vibration-Analysis
  These codes realize data transformation and simple data processing for fault diagnosis.
  ☆94Updated 8 years ago
• NPUStarBoy / Deep-transfer-network-for-fault-diagnosis
  ☆22Updated 5 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…
  ☆23Updated 5 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.
  ☆96Updated 3 years ago
• Zzlmyself1994 / PMSM-based-GAN-and-VAE
  Fault Diagnosis of Interturn short circuit of Permanent Magnet Synchronous Motor based on Depth Learning
  ☆21Updated 7 years ago
• n3iii0 / LSTM-Lifetime-Estimation
  This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.
  ☆20Updated 6 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…
  ☆62Updated 7 years ago
• ddrrrr / project_FD
  deep learning methods for bearing fault diagnosis
  ☆13Updated 6 years ago