Alternatives and similar repositories for fault-detection-of-gearbox-of-wind-turbine-based-on-LabVIEW

Users that are interested in fault-detection-of-gearbox-of-wind-turbine-based-on-LabVIEW are comparing it to the libraries listed below

• aishwaryajadhav / Ball-Bearing-Fault-Analysis-and-Lifetime-Prediction
  ☆10Updated 4 years ago
• ZhaoZhibin / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆19Updated 4 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
• bhushangawde / Fault-Diagnosis-of-Roller-Bearings
  ☆23Updated 2 years ago
• hezhijing / Intelligent-fault-diagnosis-of-wind-turbine-gearbox-based-on-CNN
  ☆16Updated 5 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
• michael-gan / MatlabPred
  Matlab Predictive Maintenance Toolbox Introduction
  ☆10Updated 2 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
• yanshen210 / KNN-SA-GNN
  论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码
  ☆28Updated 3 years ago
• ZhaoZhibin / Fast_SASD
  Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"
  ☆44Updated 3 years ago
• EnMemo / BayesianTCN
  This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.
  ☆21Updated 3 years ago
• Soyen-Song / DA-TCN-RUL
  ☆21Updated 4 years ago
• Christopher-bit / tcn_tool_wear
  Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.
  ☆10Updated 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 5 years ago
• jj574435561 / bearing-grease-age-prediction
  This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…
  ☆18Updated 3 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
• 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
• malyvsen / bearing-fault-detection
  Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
  ☆30Updated 5 years ago
• yfshich / wdcnn_bearning_fault_diagnosis-master
  fault_diagnosis
  ☆18Updated 6 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…
  ☆50Updated 7 years ago
• ericlrf / rul
  remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…
  ☆27Updated 4 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆24Updated 5 years ago
• survml / survml-transformer-rul-prediction
  Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…
  ☆23Updated 2 years ago
• ArcherCYM / RUL_prediction_LSTM
  Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification
  ☆26Updated 2 years ago
• chavan-akshay / Condition-Monitoring-of-Aircraft-Engine
  The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk us…
  ☆11Updated 3 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
• Zifee / RUL-Prediction-NASA-dataset
  Produce an example using LSTM to predict remaining useful life of machinery
  ☆15Updated last year
• iszeke / wind-turbine-phm
  for wind turbine phm
  ☆16Updated 6 years ago
• DouwMarx / Hybrid_Approach_To_Planetary_Gearbox_Prognostics
  Masters Thesis: Hybrid Approach to planetary gearbox prognostics (University of Pretoria, South-Africa, CAIM)
  ☆9Updated 4 years ago
• vinhng10 / GAN-Augmentation-for-Remaining-Useful-Life-Prediction
  ☆15Updated 2 years ago