Alternatives and similar repositories for CWRU-1

Users that are interested in CWRU-1 are comparing it to the libraries listed below

• tvhahn / weibull-knowledge-informed-ml
  Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
  ☆165Updated 2 years ago
• biswajitsahoo1111 / cbm_codes_open
  This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
  ☆94Updated 11 months ago
• Lucky-Loek / ieee-phm-2012-data-challenge-dataset
  Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute
  ☆151Updated 5 years ago
• wkzs111 / phm-ieee-2012-data-challenge-dataset
  Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute
  ☆146Updated 7 years ago
• cathysiyu / Mechanical-datasets
  ☆290Updated 7 years ago
• Western-OC2-Lab / Vibration-Based-Fault-Diagnosis-with-Low-Delay
  Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…
  ☆91Updated last year
• beifengchuizoudemeng / CWRU
  ☆115Updated 6 years ago
• Abhijit-Bhumireddy99 / RUL_Prediction
  remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…
  ☆188Updated last year
• mingzhangPHD / Transfer-Learning-for-Fault-Diagnosis
  This repository is for the transfer learning or domain adaptive with fault diagnosis.
  ☆278Updated 3 years ago
• SNBQT / Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning
  This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
  ☆367Updated 3 years ago
• mohyunho / N-CMAPSS_DL
  N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
  ☆102Updated 2 years ago
• NahuelCostaCortez / Remaining-Useful-Life-Estimation-Variational
  ☆103Updated last year
• HouLeiHIT / HIT-dataset
  This is a dataset of inter-shaft bearing based on the vibration signal of rotors and casings, which comes from a aero-engine test with in…
  ☆93Updated last year
• lankuohsing / Remaining-Useful-Life-Prediction-RNN
  Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks
  ☆145Updated 3 years ago
• zhmou / Turbofan-engine-RUL-prediction
  RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
  ☆111Updated 2 years ago
• asdvfghg / QCNN_for_bearing_diagnosis
  ☆111Updated last year
• BaratiLab / FaultNet
  ☆42Updated 3 years ago
• he-zh / vibration_gan
  Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
  ☆87Updated 4 years ago
• mdzalfirdausi / CNN-for-Paderborn-Bearing-Dataset
  in Python
  ☆18Updated last year
• QinYi-team / Code
  ☆113Updated 3 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆92Updated 4 years ago
• monologuesmw / bearing-fault-diagnosis-cnn
  Siamese network for bearing fault diagnosis
  ☆92Updated 5 years ago
• ZhaoZhibin / Probabilistic_RUL_Prediction
  ☆65Updated 5 years ago
• Xiaohan-Chen / TFPred
  An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…
  ☆67Updated last year
• ddrrrr / projectRUL2
  ☆71Updated 4 years ago
• ddrrrr / projectRUL
  to prediction the remain useful life of bearing based on 2012 PHM data
  ☆303Updated 4 years ago
• jiaxiang-cheng / PyTorch-Transformer-for-RUL-Prediction
  Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…
  ☆282Updated 4 years ago
• XiubenWu / GANFORCWRU
  New GAN models in dataset of CWRU
  ☆44Updated 3 years ago
• tilman151 / rul-datasets
  A collection of datasets for RUL estimation as Lightning Data Modules.
  ☆49Updated last year
• matheuscnali / bearing_rul_predict
  ☆56Updated 3 years ago