chenyue3

chenyue3's Stars

• AneesPeringal/rul-prediction

  Language:Jupyter Notebook8

• fuen1590/PhmDeepLearningProjects

  This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction.

  Language:Python113

• wkzs111/phm-ieee-2012-data-challenge-dataset

  Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute

  13093

• survml/survml-transformer-rul-prediction

  Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

  Language:Python221

• tianyushou/bearingRUL

  Using LSTM to predict bearings' remaining useful life

  Language:Python473

• XinyuanLiao/AttnPINN-for-RUL-Estimation

  A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks

  Language:Python8410

• Ali-Alhamaly/Turbofan_usefull_life_prediction

  given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.

  Language:Jupyter Notebook6032

• jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction

  PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp. 214-228). Springer, Cham.

  Language:Python8719

• RULprediction/RUL-prediction

  Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models

  Language:Jupyter Notebook103

• kkangshen/bayesian-deep-rul

  Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL) estimation implemented in PyTorch.

  205

• JunkaiCheng/CNC-RUL-Prediction

  It aims to implement a real-time system to monitor the tool condition and predict the Remaining Useful Life (RUL) Computer Numerical Control (CNC) machine tools.

  Language:MATLAB166

• lucadellalib/bayesian-deep-rul

  Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components

  Language:Python163

• ritu-thombre99/RUL-Prediction

  Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM

  Language:Jupyter Notebook2710

• wouterdewinter/ltsm-rul

  Predict Remaining Useful Life (RUL) with LTSM networks in Keras

  Language:Jupyter Notebook95

• tangletit/Alibaba_ML_Challenge

  Bearing Remaining Useful Life (RUL) Estimation

  94

• iameminmammadov/dash-predictive-maintenance

  Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

  Language:Python4223

• sabderra/predictive-maintenance-lstm

  Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.

  Language:Jupyter Notebook3715

• delta1epsilon/turbofan-remaining-life-prediction

  Remaining Useful Life (RUL) prediction for Turbofan Engines

  Language:Jupyter Notebook266

• jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction

  PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.

  Language:Python13822

• viralpandey/rul_using_CNN_LSTM

  Predict remaining useful life of a machine from it's historical data using CNN and LSTM

  Language:Jupyter Notebook2916

• manngithub/RUL

  Estimate Remaining Useful Life of a Machine

  Language:Jupyter Notebook125

• johnsbuck/rul

  A project focused on the improvement for remaining useful life estimation.

  Language:Jupyter Notebook227

• amer/IMPRO

  Prediction of remaining useful life (RUL)

  Language:Jupyter Notebook176

• ericlrf/rul

  remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM

  Language:Jupyter Notebook269

• OneBugMaker/PHM-RUL-Prediction-by-EM

  Remain useful life prediction of rolling bearing.

  Language:Jupyter Notebook529

• dlaredo/NASA_RUL_-CMAPS-

  Remaining Useful Life (NASA CMAPS Dataset)

  Language:TeX4311

• UtkarshPanara/Remaining-Useful-Life-Prediction-for-Turbofan-Engines

  RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN

  Language:Python10814

• ddrrrr/projectRUL

  to prediction the remain useful life of bearing based on 2012 PHM data

  Language:Python27363

• LahiruJayasinghe/RUL-Net

  Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

  Language:Python23671

• XiuzeZhou/RUL

  Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

  Language:Jupyter Notebook35264