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 / keras_detect_tool_wear
  Tool wear prediction by residual CNN
  ☆77Updated 4 years ago
• kidozh / prognostic_and_rul_prediction_of_bearing_data
  One model for RUL and fault prognostic prediction on XJTU bearing dataset
  ☆96Updated 6 years ago
• sivaji1233 / 09_turbofan_rul
  Remaining useful life prediction for turbofan engine data (C-MAPSS)
  ☆35Updated 5 years ago
• lankuohsing / Remaining-Useful-Life-Prediction-RNN
  Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks
  ☆142Updated 3 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
• ddrrrr / projectRUL
  to prediction the remain useful life of bearing based on 2012 PHM data
  ☆296Updated 4 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
• ninja1mmm / 2018-phm-data-challenge
  2018 phm data challenge, ion mill machine RUL & fault diagnosis
  ☆69Updated 7 years ago
• AiZhanghan / deep-learning-fault-diagnosis
  ☆62Updated 6 years ago
• MrTangsai / BearLSTM
  with LSTM method to solve bearing fault diagnosis classification
  ☆61Updated 8 years ago
• fee78520 / Bearing-fault-prediction
  轴承有3种故障：外圈故障，内圈故障，滚珠故障，外加正常的工作状态。如表1所示，结合轴承的3种直径（直径1,直径2,直径3），轴承的工作状态有10类
  ☆32Updated 6 years ago
• wangfin / 1DCNN_Fault_Detection
  1DCNN Fault Detection（1DCNN的轴承故障诊断）
  ☆174Updated 3 years ago
• schwxd / LSTM-Keras-CMAPSS
  Using LSTM to predict Remaining Useful Life of CMAPSS Dataset
  ☆90Updated 6 years ago
• LahiruJayasinghe / RUL-Net
  Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
  ☆243Updated 4 years ago
• matheuscnali / bearing_rul_predict
  ☆53Updated 2 years ago
• zhangjiali1201 / Keras_bearing_fault_diagnosis
  ☆211Updated 5 years ago
• Abhijit-Bhumireddy99 / RUL_Prediction
  remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…
  ☆171Updated last year
• 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. Pa…
  ☆156Updated 4 years ago
• Litchiware / cwru
  ☆168Updated 3 years ago
• ddrrrr / projectRUL2
  ☆67Updated 4 years ago
• UtkarshPanara / Remaining-Useful-Life-Prediction-for-Turbofan-Engines
  RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN
  ☆122Updated 4 years ago
• songyer / Fault_Diagnosis
  基于深度学习的滚动轴承故障诊断方法
  ☆197Updated 6 years ago
• ZhangWei1993 / Mechanical-Fault-Diagnosis-Based-on-Deep-Learning
  CNN for mechanical fault diagnosis
  ☆311Updated 7 years ago
• schwxd / model-based-transfer-for-bearing-diagnosis
  ☆11Updated 6 years ago
• hustcxl / Deep-learning-in-PHM
  Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
  ☆455Updated 4 years ago
• wargod797 / Fault_diagnosis_ballbearing_wavelet
  Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…
  ☆99Updated 5 years ago
• zhangxiaoling / Bearing-fault-detection
  轴承故障检测 训练赛第30名代码
  ☆131Updated 6 years 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
  ☆148Updated 5 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
• Zichen-Yan / Fault-diagnosis
  Fault Diagnosis on Bearing Dataset
  ☆32Updated 5 years ago