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Source code material for M.Sc. thesis
Remaining usfull life of engines - basic attempt
For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models
Predicting the Remaining Used Life of Machine parts using LASSO Regression.
Remaining useful lifecycle prediction as a part of challenge given by Altair
Estimating the Remaining Useful Lifetime (RUL) with LSTM Autoencoders
刀具剩余寿命预测
The following packages need to be installed to run this demo:Python(>= 3.5.2), Tensorflow, Keras, Numpy
Predict remaining useful life of a machine from it's historical data using CNN and LSTM
try out bearing fault diagnosis with semi-supervised vae
Sequence modeling benchmarks and temporal convolutional networks
Using a neural network with LSTMs to predict the career end of Tour de France starters between 1995 and 2019.
主要存储Datawhale组队学习中“推荐系统”方向的资料。
time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
Remaining Useful Life of a Turbofan engine
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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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.