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
Alternatives and similar repositories for LSTM_FUSION:
Users that are interested in LSTM_FUSION are comparing it to the libraries listed below
- 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
- ☆15Updated 3 years ago
- Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL…☆20Updated 5 years ago
- ☆10Updated 4 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆81Updated 6 years ago
- RUL Nasa Turbofan Dataset (paper)☆26Updated 4 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆28Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆51Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆23Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆19Updated 3 years ago
- ☆60Updated 4 years ago
- case study for remaining useful life estimation☆25Updated 9 months ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 2 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆91Updated 5 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆43Updated 3 years ago
- Remain useful life prediction of rolling bearing.☆52Updated 4 years ago
- Using LSTM to predict bearings' remaining useful life☆47Updated 3 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 3 years ago
- : 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
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆49Updated 7 months ago
- Reamain Useful Life Prediction of Bearing☆10Updated 2 years ago
- Application of Transfer Learning for RUL Prediction☆25Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆25Updated 5 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 2 years ago
- 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
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆29Updated 5 years ago
- ☆15Updated 2 years ago
- ☆24Updated 2 years ago
- 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
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated 2 years ago