mohan696matlab / CWRU_Bearing_Fault_Classification
☆25Updated 3 years ago
Alternatives and similar repositories for CWRU_Bearing_Fault_Classification:
Users that are interested in CWRU_Bearing_Fault_Classification are comparing it to the libraries listed below
- : 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…☆43Updated 6 years ago
- ☆23Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆49Updated 9 months ago
- ☆62Updated 4 years ago
- Using LSTM to predict bearings' remaining useful life☆47Updated 3 years ago
- ☆53Updated last year
- Remain useful life prediction of rolling bearing.☆53Updated 4 years ago
- Transfer learning☆49Updated 3 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆55Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆29Updated last year
- ☆93Updated last year
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆146Updated 10 months ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 2 years ago
- Application of Transfer Learning for RUL Prediction☆25Updated 3 years ago
- ☆65Updated 4 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆96Updated last year
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆88Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆91Updated 5 years ago
- Remaining useful life prediction by Transformer-based Model☆46Updated 2 years ago
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆88Updated last month
- case study for remaining useful life estimation☆28Updated 10 months ago
- Vibrational Analysis for CWRU Bearing Dataset☆22Updated 2 years ago
- ☆18Updated 2 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆61Updated last year
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆45Updated 3 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆83Updated last year
- 基于深度学习的机械故障诊断☆31Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- 完整的航空发动机一维卷积神经网络训练模型☆56Updated 5 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆111Updated 4 years ago