MuhammadEsmat / Predictive-Maintenance-Machine-Remaining-Useful-Life-Estimation-using-Deep-Learning-TechniqueLinks
Deep Learning algorithm Long-Short-Term-Memory (LSTM) with Feedforward Neural Network (FNN) to predict machine Remaining Useful Life (RUL) using the NASA turbofan engine degradation dataset C-MAPSS (Commercial Modular Aero-Propulsion System Simulation).
☆4Updated 4 years ago
Alternatives and similar repositories for Predictive-Maintenance-Machine-Remaining-Useful-Life-Estimation-using-Deep-Learning-Technique
Users that are interested in Predictive-Maintenance-Machine-Remaining-Useful-Life-Estimation-using-Deep-Learning-Technique are comparing it to the libraries listed below
Sorting:
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆15Updated 3 years ago
- 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
- 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
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 4 years ago
- Estimation of RUL (Remaining Useful Life) of NASA Turbobfan Engine☆8Updated 3 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆26Updated 3 years ago
- Wind turbine fault detection using one class SVM☆14Updated 3 years ago
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆10Updated 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
- For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.☆15Updated 4 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- Reamain Useful Life Prediction of Bearing☆12Updated 2 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆30Updated 2 years ago
- 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
- This repository contains parts of code for the publication "Ensembles of Probabilistic LSTM Predictors and Correctors for Bearing Prognos…☆9Updated 2 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆31Updated 6 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
- ☆19Updated 4 years ago
- ☆15Updated 2 years ago
- ☆22Updated 2 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆46Updated 3 years ago
- Remaining Useful Life (NASA CMAPS Dataset)☆44Updated 6 years ago
- given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a ne…☆65Updated 5 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆30Updated 3 years ago
- Prediction of remaining useful life (RUL)☆17Updated 7 years ago
- ☆64Updated 4 years ago
- Application of Transfer Learning for RUL Prediction☆27Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆55Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago