(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.
The remaining life of Li-Ion batteries was predicted by training the model for various datasets, considering various factors by applying Support Vector Machines.
One model for RUL and fault prognostic prediction on XJTU bearing dataset
This repository contains codes that implement common machine learning algorithms for remaining useful life (RUL) prediction.
Predicting the Remaining Used Life of Machine parts using LASSO Regression.
Predict remaining useful life of a machine from it's historical data using CNN and LSTM
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
Machine learning algorithms for damage detection in rolling bearings. #WorkInProgress