Alternatives and similar repositories for Gearbox-fault-detect-matlab

Users that are interested in Gearbox-fault-detect-matlab are comparing it to the libraries listed below

• hezhijing / Intelligent-fault-diagnosis-of-wind-turbine-gearbox-based-on-CNN
  ☆16Updated 5 years ago
• HydraHuYu / MyProgrom
  bearing fault diagnosis
  ☆8Updated 5 years ago
• iszeke / wind-turbine-phm
  for wind turbine phm
  ☆16Updated 7 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆46Updated 7 years ago
• Zichen-Yan / Fault-diagnosis
  Fault Diagnosis on Bearing Dataset
  ☆32Updated 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
  ☆32Updated 5 years ago
• soham97 / Remaining_useful_life_NASA
  RUL Nasa Turbofan Dataset (paper)
  ☆26Updated 5 years ago
• ddrrrr / project_FD
  deep learning methods for bearing fault diagnosis
  ☆13Updated 6 years ago
• xujiachang1024 / Fault-Diagnosis-with-ML
  Fault Diagnosis with Machine Learning Methods, the dissertation project of my MSc Data Science degree at King's College London
  ☆12Updated 5 years ago
• n3iii0 / LSTM-Lifetime-Estimation
  This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.
  ☆20Updated 5 years ago
• RyanWangCode / PHM
  Industrial intelligence
  ☆9Updated 7 years ago
• AiZhanghan / deep-learning-fault-diagnosis
  ☆60Updated 5 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.
  ☆15Updated 4 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆26Updated 5 years ago
• binzh93 / fault_diagnosis_cnn_pytorch
  ☆10Updated 6 years ago
• cputnam / FEMTO
  Spark - Bearing RUL Predictions
  ☆19Updated 8 years ago
• tc-imba / CNN-for-bearing-fault-diagnosis
  ☆9Updated 6 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…
  ☆97Updated 4 years ago
• KuoHaoJun / SimilarityRUL
  基于相似性的剩余寿命预测
  ☆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…
  ☆55Updated 7 years ago
• haitaozhao / LSTM_fault_detection
  ☆53Updated 7 years ago
• viniciuserra / Gearbox-Hybrid-CNN-SVM
  The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…
  ☆23Updated last year
• denggang123 / fault_diagnosis_spiral_CNN
  基于CNN、特征螺旋排列、奇异值分解、Hankel矩阵的故障诊断方法
  ☆10Updated 5 years ago
• mathworks / WindTurbineHighSpeedBearingPrognosis-Data
  Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox
  ☆52Updated 3 years ago
• ZhaoZhibin / Weighted_Multi-Scale_Dictionary_Learning
  Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"
  ☆42Updated 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 5 years ago
• bhushangawde / Fault-Diagnosis-of-Roller-Bearings
  ☆23Updated 2 years ago
• ZhaoZhibin / AdaESPGL
  Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"
  ☆18Updated 5 years ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆20Updated 6 years ago
• liguge / FWA-DBN-ELM-for-intelligent-fault-diagnosis
  FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断
  ☆29Updated 2 years ago