ultimatejoe / rul_of_cutter

Related projects ⓘ

Alternatives and complementary repositories for rul_of_cutter

• XinArkh / Industrial_BigData_Competition_2017
  2017工业大数据创新竞赛/风机叶片结冰预测大赛
  ☆48Updated 6 years ago
• schwxd / LSTM-Keras-CMAPSS
  Using LSTM to predict Remaining Useful Life of CMAPSS Dataset
  ☆82Updated 6 years ago
• ninja1mmm / 2018-phm-data-challenge
  2018 phm data challenge, ion mill machine RUL & fault diagnosis
  ☆67Updated 6 years ago
• soham97 / Remaining_useful_life_NASA
  RUL Nasa Turbofan Dataset (paper)
  ☆26Updated 4 years ago
• nicolasoyharcabal / ConvRNN_for_RUL_estimation
  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
  ☆79Updated 5 years ago
• cputnam / FEMTO
  Spark - Bearing RUL Predictions
  ☆19Updated 7 years ago
• viralpandey / rul_using_CNN_LSTM
  Predict remaining useful life of a machine from it's historical data using CNN and LSTM
  ☆28Updated 5 years ago
• kidozh / prognostic_and_rul_prediction_of_bearing_data
  One model for RUL and fault prognostic prediction on XJTU bearing dataset
  ☆88Updated 5 years ago
• dlaredo / NASA_RUL_-CMAPS-
  Remaining Useful Life (NASA CMAPS Dataset)
  ☆41Updated 5 years ago
• johnsbuck / rul
  A project focused on the improvement for remaining useful life estimation.
  ☆22Updated 7 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
  ☆31Updated 5 years ago
• lankuohsing / Remaining-Useful-Life-Prediction-RNN
  Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks
  ☆122Updated 2 years ago
• sabderra / predictive-maintenance-lstm
  Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.
  ☆37Updated 5 years ago
• zhangxiaoling / Bearing-fault-detection
  轴承故障检测 训练赛第30名代码
  ☆123Updated 5 years ago
• yyxyz / CaseWesternReserveUniversityData
  ☆136Updated 7 years ago
• sivaji1233 / 09_turbofan_rul
  Remaining useful life prediction for turbofan engine data (C-MAPSS)
  ☆30Updated 4 years ago
• 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 ne…
  ☆60Updated 5 years ago
• huster123 / 1d-based-DCNN
  一维卷积网络用于航空发动机剩余寿命预测
  ☆28Updated 5 years ago
• luanshiyinyang / DataMiningProject
  包含一些比较常见的数据挖掘竞赛或者项目的源码
  ☆118Updated 5 years ago
• pinlank / kdxf2019top2
  2019科大讯飞工程机械赛题-亚军
  ☆37Updated 5 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 4 years ago
• amer / IMPRO
  Prediction of remaining useful life (RUL)
  ☆17Updated 6 years ago
• woshiyiduohua / paper-reading
  故障诊断方面的论文阅读
  ☆16Updated 5 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…
  ☆40Updated 6 years ago
• RyanWangCode / PHM
  Industrial intelligence
  ☆10Updated 6 years ago
• mathworks / WindTurbineHighSpeedBearingPrognosis-Data
  Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox
  ☆46Updated 2 years ago
• wangzhijie / LSTM-SVM-Classify
  LSTM和SVM实现设备故障诊断
  ☆48Updated 5 years ago
• MrTangsai / BearLSTM
  with LSTM method to solve bearing fault diagnosis classification
  ☆62Updated 7 years ago
• shanpoqq / DiagnosisDL2TF
  使用TensorFlow建立简单的轴承故障诊断模型
  ☆94Updated 6 years ago
• eejlny / LSTM_FUSION
  data set and models for IEEE access paper "Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion"
  ☆20Updated 4 years ago