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migushu's Projects

rul-net icon rul-net

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

rul-prediction icon rul-prediction

Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models

rul_estimate icon rul_estimate

Estimating the Remaining Useful Lifetime (RUL) with LSTM Autoencoders

rul_prediction_using_ann icon rul_prediction_using_ann

The following packages need to be installed to run this demo:Python(>= 3.5.2), Tensorflow, Keras, Numpy

rul_using_cnn_lstm icon rul_using_cnn_lstm

Predict remaining useful life of a machine from it's historical data using CNN and LSTM

ssvae icon ssvae

try out bearing fault diagnosis with semi-supervised vae

tcn icon tcn

Sequence modeling benchmarks and temporal convolutional networks

tdf-starters-rul icon tdf-starters-rul

Using a neural network with LSTMs to predict the career end of Tour de France starters between 1995 and 2019.

team-learning-rs icon team-learning-rs

主要存储Datawhale组队学习中“推荐系统”方向的资料。

time-series-forecasting-keras icon time-series-forecasting-keras

time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.

turbofan_usefull_life_prediction icon turbofan_usefull_life_prediction

given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.

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