Alternatives and similar repositories for CMAPSSData:

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

• iszeke / wind-turbine-phm
  for wind turbine phm
  ☆16Updated 6 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…
  ☆65Updated 5 years ago
• schwxd / LSTM-Keras-CMAPSS
  Using LSTM to predict Remaining Useful Life of CMAPSS Dataset
  ☆87Updated 6 years ago
• huster123 / c-mapss-full-dataset-
  完整的航空发动机一维卷积神经网络训练模型
  ☆59Updated 6 years ago
• akshatshah21 / RUL-Prediction
  ☆11Updated 3 years ago
• dependable-cps / AdversarialAttack-PHM
  ☆27Updated 4 years ago
• arthurviens / bayesrul
  Bayesian Neural Networks to predict RUL on N-CMAPSS
  ☆19Updated 2 years ago
• hatton613 / bearing-dataset-collection
  轴承故障数据集
  ☆11Updated 11 months ago
• abiodun-ayodeji / Attention_based_MultiHead_model_for_aircraft_engine_RUL_prediction_
  Attention-based multihead model for optimized aircraft engine remaining useful life prediction
  ☆54Updated 11 months ago
• mathworks / WindTurbineHighSpeedBearingPrognosis-Data
  Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox
  ☆50Updated 3 years ago
• lkev / wtphm
  SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…
  ☆78Updated 4 years ago
• tilman151 / DomainAdaption_PHM2020
  Code and supplementary material for ICPHM2020
  ☆26Updated 4 years ago
• pimlphm / Physics-informed-machine-learning-based-on-TCN
  A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…
  ☆27Updated 2 years ago
• nicolasoyharcabal / ConvRNN_for_RUL_estimation
  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
  ☆82Updated 6 years ago
• lucadellalib / bayesian-deep-rul
  Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
  ☆15Updated 3 years ago
• dou52885288 / Lstm_fault_detection
  fault detection in wind turbines
  ☆16Updated 4 years ago
• kidozh / prognostic_and_rul_prediction_of_bearing_data
  One model for RUL and fault prognostic prediction on XJTU bearing dataset
  ☆92Updated 5 years ago
• robot007 / PHM15
  Data for PHM 2015 data challenge
  ☆13Updated 8 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 5 years ago
• DExulans / fault-detection-of-gearbox-of-wind-turbine-based-on-LabVIEW
  基于LabVIEW，可由故障齿轮箱振动信号生成时域图、频谱图、倒频谱图和包络谱图
  ☆16Updated 4 years ago
• soham97 / Remaining_useful_life_NASA
  RUL Nasa Turbofan Dataset (paper)
  ☆26Updated 4 years ago
• Neovairis / RUL-estimation-based-on-FCN-LSTM
  For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.
  ☆14Updated 4 years ago
• Adithya-Thonse / N-CMAPSS_DL
  Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset
  ☆31Updated 2 years ago
• ZhaoZhibin / Probabilistic_RUL_Prediction
  ☆64Updated 4 years ago
• mohamedr002 / Attention-based-Sequence-to-Sequence-for-RUL
  Proposed ATS2S model for C-MAPSS dataset.
  ☆15Updated 3 years ago
• hezhijing / Intelligent-fault-diagnosis-of-wind-turbine-gearbox-based-on-CNN
  ☆16Updated 5 years ago
• eugeniaring / PHM08-Challenge-Data-Set
  Predicting the Remaining Useful Life of Turbofan Engine
  ☆21Updated 2 years ago
• ZhenghuaNTU / RUL-prediction-using-attention-based-deep-learning-approach
  ☆55Updated 2 years ago
• delta1epsilon / turbofan-remaining-life-prediction
  Remaining Useful Life (RUL) prediction for Turbofan Engines
  ☆25Updated 3 years ago
• NahuelCostaCortez / Remaining-Useful-Life-Estimation-Variational
  ☆98Updated last year