remaining-useful-life topic
RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
rul_of_cutter
刀具剩余寿命预测
PyTorch-Transformer-for-RUL-Prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life...
keras_detect_tool_wear
Tool wear prediction by residual CNN
PyTorch-CNN-for-RUL-Prediction
PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estima...
PyTorch-LSTM-for-RUL-Prediction
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gu...
battery-rul-estimation
Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Pred-Maintenance-Siemens
Predictive Maintenance System for Digital Factory Automation
weibull-knowledge-informed-ml
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
rul_codes_open
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.