Alternatives and similar repositories for keras_detect_tool_wear

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

• ninja1mmm / 2018-phm-data-challenge
  2018 phm data challenge, ion mill machine RUL & fault diagnosis
  ☆70Updated 7 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
  ☆142Updated 7 years ago
• LahiruJayasinghe / RUL-Net
  Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
  ☆243Updated 5 years ago
• kidozh / rnn_in_forecasting_tool_wear
  Maybe the 1st tool wear forecasting by DL
  ☆35Updated 3 years ago
• sabderra / predictive-maintenance-lstm
  Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.
  ☆36Updated 6 years ago
• schwxd / LSTM-Keras-CMAPSS
  Using LSTM to predict Remaining Useful Life of CMAPSS Dataset
  ☆90Updated 6 years ago
• lankuohsing / Remaining-Useful-Life-Prediction-RNN
  Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks
  ☆144Updated 3 years ago
• ultimatejoe / rul_of_cutter
  刀具剩余寿命预测
  ☆72Updated 5 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆94Updated 4 years ago
• Vardoom / PredictiveMaintenanceNASA
  LSTM Neural Network to predict NASA's engines failure based on know failures and parameters.
  ☆24Updated 7 years ago
• nicolasoyharcabal / ConvRNN_for_RUL_estimation
  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
  ☆84Updated 6 years ago
• matheuscnali / bearing_rul_predict
  ☆56Updated 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 9 months ago
• mathworks / WindTurbineHighSpeedBearingPrognosis-Data
  Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox
  ☆53Updated 3 years ago
• johnsbuck / rul
  A project focused on the improvement for remaining useful life estimation.
  ☆21Updated 8 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…
  ☆66Updated 6 years ago
• tashrifbillah / Remaining-Useful-Life-Estimation-of-Rocket-Engines
  Similarity matching based remaining useful life estimation
  ☆29Updated 7 years ago
• aqibsaeed / Estimation-of-Remaining-Useful-Life-using-CNN
  Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
  ☆139Updated 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
• soham97 / Remaining_useful_life_NASA
  RUL Nasa Turbofan Dataset (paper)
  ☆26Updated 5 years ago
• dlaredo / NASA_RUL_-CMAPS-
  Remaining Useful Life (NASA CMAPS Dataset)
  ☆44Updated 6 years ago
• raady07 / CNN-for-bearing-fault-diagnosis
  CNN applied to bearing signals for analysis
  ☆91Updated 5 years ago
• DatrikIntelligence / Stacked-DCNN-RUL-PHM21
  Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.
  ☆83Updated 2 years ago
• viralpandey / rul_using_CNN_LSTM
  Predict remaining useful life of a machine from it's historical data using CNN and LSTM
  ☆32Updated 6 years ago
• mathworks / RollingElementBearingFaultDiagnosis-Data
  Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox
  ☆39Updated 2 years ago
• ZhaoZhibin / Basic-Rotating-Machine-Vibration-Analysis
  These codes realize data transformation and simple data processing for fault diagnosis.
  ☆92Updated 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
  ☆34Updated 6 years ago
• iszeke / wind-turbine-phm
  for wind turbine phm
  ☆18Updated 7 years ago
• tvhahn / weibull-knowledge-informed-ml
  Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
  ☆161Updated 2 years ago
• sivaji1233 / 09_turbofan_rul
  Remaining useful life prediction for turbofan engine data (C-MAPSS)
  ☆35Updated 5 years ago