Center-of-Excellence-AI-for-Structures / ISTRUST_MODELLinks
Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable neural networks". This is a novel interpretable transformer-based model for Remaining Useful Life (RUL) prediction from raw sequential images (frames) representing a composite structure under fatigue loads
☆13Updated 3 months ago
Alternatives and similar repositories for ISTRUST_MODEL
Users that are interested in ISTRUST_MODEL are comparing it to the libraries listed below
Sorting:
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆16Updated 6 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆31Updated 3 months ago
- ☆10Updated last year
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆10Updated 2 years ago
- ☆21Updated 2 years ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆15Updated 2 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated last year
- 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.☆23Updated 3 months ago
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆10Updated 3 months ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆23Updated 2 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 3 years ago
- An awesome list of papers on remaining useful life (RUL) prediction from arXiv☆11Updated 2 months ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆32Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆12Updated 3 months ago
- unofficial reproduction of: a transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆20Updated last year
- foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationRemaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data…☆13Updated last year
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 6 months ago
- The code for paper "Position Encoding based Convolutional Neural Networks for Machine Remaining Useful Life Prediction"☆14Updated 2 years ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆25Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year
- Benmarking for GNN-based RUL prediction☆30Updated 8 months ago
- Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models☆11Updated 6 years ago
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆11Updated last year