endeavoryg

2018-phm-data-challenge

2018 phm data challenge, ion mill machine RUL & fault diagnosis

2019iFLYTEK2019_TOP2

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Deep-learning-in-PHM

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

deeplearning-models

A collection of various deep learning architectures, models, and tips

DeepSSL

Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach

HIconstruct_optimize

Contains code to compare several health index construction methods using run-to-failure bearing dataset

keras-wtte-rnn

Demo Weibull Time-to-event Recurrent Neural Network in Keras

Prognostics_Weighted_Ensemble

code repository for the owner's paper on prognostics

endeavoryg/2018-phm-data-challenge

2018 phm data challenge, ion mill machine RUL & fault diagnosis

endeavoryg/2019iFLYTEK2019_TOP2

endeavoryg/awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

endeavoryg/Deep-learning-in-PHM

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

endeavoryg/deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

endeavoryg/deeplearning-models

A collection of various deep learning architectures, models, and tips

endeavoryg/DeepSSL

Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach

endeavoryg/HIconstruct_optimize

Contains code to compare several health index construction methods using run-to-failure bearing dataset

endeavoryg/keras-wtte-rnn

Demo Weibull Time-to-event Recurrent Neural Network in Keras

endeavoryg/Prognostics_Weighted_Ensemble

code repository for the owner's paper on prognostics

endeavoryg/projectRUL

to prediction the remain useful life of bearing based on 2012 PHM data

endeavoryg/pytorch-AutoEncoders

Autoencoders in PyTorch

endeavoryg/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 estimation of remaining useful life. In International conference on database systems for advanced applications (pp. 214-228). Springer, Cham.

endeavoryg/RUL-Net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

endeavoryg/rul_codes_open

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

endeavoryg/Survival-analysis

Application of survival analysis, predictive maintenance, churn analysis, remaining useful life prediction

endeavoryg/TFDeepSurv

COX Proportional risk model and survival analysis implemented by tensorflow.

endeavoryg/torch-wtte

A PyTorch implementation of Weibull Time to Event Recurrent Neural Networks for churn prediction tasks.

endeavoryg/weibull-knowledge-informed-ml

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

endeavoryg/wtte-rnn

WTTE-RNN a framework for churn and time to event prediction

endeavoryg/wtte-torch

Weibull Time To Event prediction with PyTorch and deep learning