VNemani14 / HIconstruct_optimizeLinks
Contains code to compare several health index construction methods using run-to-failure bearing dataset
☆23Updated 2 years ago
Alternatives and similar repositories for HIconstruct_optimize
Users that are interested in HIconstruct_optimize are comparing it to the libraries listed below
Sorting:
- ☆64Updated 4 years ago
- case study for remaining useful life estimation☆33Updated last year
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- Remaining useful life prediction by Transformer-based Model☆51Updated 3 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆58Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆171Updated last year
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆48Updated 3 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆42Updated 3 years ago
- ☆108Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆70Updated 2 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆37Updated last year
- Remaining useful life prediction for N-CMAPSS dataset☆19Updated 3 years ago
- ☆67Updated 4 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- 基于深度学习的机械故障诊断☆35Updated last year
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- ☆33Updated 2 years ago
- ☆33Updated 3 years ago
- ☆12Updated 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…☆94Updated 4 years ago
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆25Updated 6 months ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆36Updated last year
- Transfer Learning on RUL estimation☆14Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆96Updated 6 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆23Updated 3 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year