Search Results - RepositoryStats

41

138

mit

2

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

pytorch weibull deep-learning manufacturing machine-learning pronostia-dataset condition-monitoring ims-bearing-data-set remaining-useful-life bearing-fault-diagnosis prognostics-health-management knowledge-informed-machine-learning

Created 2021-06-30

178 commits to master branch, last one about a year ago

RUL_Prediction Abhijit-Bhumireddy99

16

129

gpl-3.0

2

remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit

cnn cwt lstm bearings deep-learning machine-learning pronostia-dataset vibration-signals deep-neural-networks remaining-useful-life-prediction

Created 2021-06-10

56 commits to main branch, last one 7 months ago

rul-datasets tilman151

2

40

unknown

2

A collection of datasets for RUL estimation as Lightning Data Modules.

xjtu femto cmapss pytorch domain-adaptation pronostia-dataset pytorch-lightning remaining-useful-life semi-supervised-learning remaining-useful-life-prediction

Created 2022-05-24

166 commits to master branch, last one 6 months ago

rul-adapt tilman151

3

33

unknown

2

A collection of unsupervised domain adaption algorithms for RUL estimation.

xjtu femto cmapss pytorch domain-adaptation pronostia-dataset pytorch-lightning remaining-useful-life

Created 2022-11-10

95 commits to master branch, last one 7 months ago