Alternatives and similar repositories for rnn_in_forecasting_tool_wear

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

• kidozh / prognostic_and_rul_prediction_of_bearing_data
  One model for RUL and fault prognostic prediction on XJTU bearing dataset
  ☆93Updated 5 years ago
• sivaji1233 / 09_turbofan_rul
  Remaining useful life prediction for turbofan engine data (C-MAPSS)
  ☆34Updated 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
• Christopher-bit / tcn_tool_wear
  Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.
  ☆10Updated 2 years ago
• kidozh / keras_detect_tool_wear
  Tool wear prediction by residual CNN
  ☆76Updated 4 years ago
• foryichuanqi / RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN
  The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …
  ☆57Updated 2 years ago
• Abhijit-Bhumireddy99 / RUL_Prediction
  remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…
  ☆165Updated last year
• opensuh / GMFE
  Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks
  ☆40Updated 3 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…
  ☆54Updated 7 years ago
• matheuscnali / bearing_rul_predict
  ☆51Updated 2 years ago
• OneBugMaker / PHM-RUL-Prediction-by-EM
  Remain useful life prediction of rolling bearing.
  ☆57Updated 4 years ago
• abiodun-ayodeji / Attention_based_MultiHead_model_for_aircraft_engine_RUL_prediction_
  Attention-based multihead model for optimized aircraft engine remaining useful life prediction
  ☆56Updated last year
• AiZhanghan / deep-learning-fault-diagnosis
  ☆60Updated 5 years ago
• ZhenghuaNTU / RUL-prediction-using-attention-based-deep-learning-approach
  ☆56Updated 2 years ago
• ddrrrr / projectRUL2
  ☆66Updated 4 years ago
• tianyushou / bearingRUL
  Using LSTM to predict bearings' remaining useful life
  ☆48Updated 4 years ago
• ShubhankarKG / RUL_Prediction_SVM
  Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …
  ☆45Updated 3 years ago
• ZhaoZhibin / Probabilistic_RUL_Prediction
  ☆64Updated 4 years ago
• lankuohsing / Remaining-Useful-Life-Prediction-RNN
  Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks
  ☆139Updated 3 years ago
• cputnam / FEMTO
  Spark - Bearing RUL Predictions
  ☆19Updated 8 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
  ☆101Updated 2 years ago
• Junkun-Lu / RUL_Inception-Attention
  Remaining useful life prediction by Transformer-based Model
  ☆51Updated 2 years ago
• iszeke / wind-turbine-phm
  for wind turbine phm
  ☆16Updated 6 years ago
• ajlangley / femto-dataloader
  A data loader class for the FEMTO-ST Ball Bearing Dataset
  ☆10Updated 5 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 5 years ago
• schwxd / LSTM-Keras-CMAPSS
  Using LSTM to predict Remaining Useful Life of CMAPSS Dataset
  ☆88Updated 6 years ago
• QinYi-team / Code
  ☆105Updated 2 years ago
• RULprediction / RUL-prediction
  Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models
  ☆11Updated 6 years ago
• UtkarshPanara / Remaining-Useful-Life-Prediction-for-Turbofan-Engines
  RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN
  ☆114Updated 4 years ago
• sabderra / predictive-maintenance-lstm
  Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.
  ☆36Updated 6 years ago