Alternatives and similar repositories for awesome-digital-twin

Users that are interested in awesome-digital-twin are comparing it to the libraries listed below

• kidozh / digital_twin_by_GAN
  Digital twins in machining process by Generative Adversarial Nets
  ☆48Updated 6 years ago
• robot007 / PHM15
  Data for PHM 2015 data challenge
  ☆15Updated 9 years ago
• mjuez / early-im-fault-diagnosis
  🧠 A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees
  ☆34Updated 4 years ago
• PHME-Datachallenge / Data-Challenge-2021
  ☆24Updated 4 years ago
• yaole0720 / VTR-based-Soft-Sensor
  Variable Time Reconstruction based modeling framework for soft sensor development
  ☆13Updated 5 years ago
• mjain72 / Condition-monitoring-of-hydraulic-systems-using-xgboost-modeling
  We will do a condition monitoring of a test hydraulic rig, using various sensor values and using xgboost for classification
  ☆12Updated 7 years ago
• naikio / LSTM_encoder_decoder_for_prognostics
  ☆12Updated 7 years ago
• mathworks / Simscape-Triplex-Pump
  Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape
  ☆37Updated 10 months ago
• ninja1mmm / 2018-phm-data-challenge
  2018 phm data challenge, ion mill machine RUL & fault diagnosis
  ☆70Updated 7 years ago
• ZhongWang24 / condition-monitoring-system-for-gas-turbine
  A condition monitoring system for gas turbine, including refenrece value, anomaly detection, and fault diagnosis.
  ☆35Updated 7 years ago
• BNN-UPC / GNNPapersPowerNets
  ☆29Updated 4 years ago
• haitaozhao / LSTM_fault_detection
  ☆55Updated 7 years ago
• hustcxl / PHM_datasets
  Data sets on prognosis and health management（PHM相关数据集）
  ☆20Updated 5 years ago
• dependable-cps / AdversarialAttack-PHM
  ☆27Updated 4 years ago
• ahmd-mohsin / DTIC-Digital-Twin-Induction-Motor
  Digital Twin of an Induction Motor: Fault Analysis and Predictive Maintenance
  ☆16Updated last year
• lapisco / Wind_turbine_failure_prediction
  Machine learning applied to wind turbines incipient fault detection.
  ☆92Updated 4 years ago
• mathworks / RollingElementBearingFaultDiagnosis-Data
  Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox
  ☆39Updated 2 years ago
• tilman151 / DomainAdaption_PHM2020
  Code and supplementary material for ICPHM2020
  ☆26Updated 5 years ago
• edwardzjl / CMAPSSData
  turbofan degradation data from https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#turbofan
  ☆12Updated 6 years ago
• GuokaiLiu / Awesome-Graph-Neural-Network-for-PHM
  Early access articles, Journals, and Conferences
  ☆27Updated 4 years ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆20Updated 6 years ago
• biswajitsahoo1111 / data_driven_features_ims
  Multiclass bearing fault classification using features learned by a deep neural network.
  ☆35Updated 3 years ago
• vigorfif / Soft-Sensor-Modelling
  Soft sensor modelling using multiple machine learning algorithms
  ☆24Updated 6 years ago
• RamanHacks / Fault-Diagnosis
  Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks
  ☆42Updated 6 years ago
• andrek10 / bearing-vibration-diagnostics-toolbox
  ☆41Updated 3 years ago
• anushuk / Electric-vehicle-battery-range-prediction
  Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comp…
  ☆14Updated 4 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆92Updated 4 years ago
• hkaneko1985 / adaptive_soft_sensors
  Adaptive Soft Sensors
  ☆19Updated 6 years ago
• LongxingTan / python-profeld
  ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
  ☆22Updated 2 years ago
• laiadc / PFM_Bearing_Fault_Detection
  ☆14Updated 5 years ago