Alternatives and similar repositories for bearing-fault-detection:

Users that are interested in bearing-fault-detection are comparing it to the libraries listed below

• mathworks / RollingElementBearingFaultDiagnosis-Data
  Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox
  ☆37Updated 2 years ago
• matheuscnali / bearing_rul_predict
  ☆48Updated 2 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
• bhushangawde / Fault-Diagnosis-of-Roller-Bearings
  ☆24Updated 2 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…
  ☆42Updated 6 years ago
• biswajitsahoo1111 / data_driven_features_ims
  Multiclass bearing fault classification using features learned by a deep neural network.
  ☆32Updated 2 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆25Updated 5 years ago
• wouterdewinter / ltsm-rul
  Predict Remaining Useful Life (RUL) with LTSM networks in Keras
  ☆9Updated 7 years ago
• aishwaryajadhav / Ball-Bearing-Fault-Analysis-and-Lifetime-Prediction
  ☆10Updated 4 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
  ☆27Updated 2 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
  ☆30Updated 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"
  ☆40Updated 4 years ago
• monologuesmw / bearing-fault-diagnosis-by-wdcnn
  wdcnn model for bearing fault diagnosis
  ☆33Updated 5 years ago
• ericlrf / rul
  remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…
  ☆26Updated 3 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆45Updated 6 years ago
• mathworks / WindTurbineHighSpeedBearingPrognosis-Data
  Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox
  ☆48Updated 3 years ago
• 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
• soham97 / Remaining_useful_life_NASA
  RUL Nasa Turbofan Dataset (paper)
  ☆26Updated 4 years ago
• Zichen-Yan / Fault-diagnosis
  Fault Diagnosis on Bearing Dataset
  ☆33Updated 5 years ago
• yfshich / wdcnn_bearning_fault_diagnosis-master
  fault_diagnosis
  ☆19Updated 6 years ago
• nicolasoyharcabal / ConvRNN_for_RUL_estimation
  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
  ☆81Updated 6 years ago
• hezhijing / Intelligent-fault-diagnosis-of-wind-turbine-gearbox-based-on-CNN
  ☆16Updated 5 years ago
• ZhaoZhibin / Fast_SASD
  Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"
  ☆42Updated 3 years ago
• HydraHuYu / MyProgrom
  bearing fault diagnosis
  ☆9Updated 5 years ago
• al3xsh / rolling-element-bearing-fault-detection
  Code to go with the paper "A novel deep learning model for the detection and identification of rolling element bearing faults"
  ☆49Updated 3 years ago
• ddrrrr / project_FD
  deep learning methods for bearing fault diagnosis
  ☆14Updated 5 years ago
• biswajitsahoo1111 / cbm_codes_open
  This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
  ☆88Updated 2 weeks ago
• schwxd / LSTM-Keras-CMAPSS
  Using LSTM to predict Remaining Useful Life of CMAPSS Dataset
  ☆85Updated 6 years ago
• ZhaoZhibin / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆18Updated 4 years ago
• ShubhankarKG / RUL_Prediction_SVM
  Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …
  ☆43Updated 3 years ago