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244

unknown

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Bearing fault diagnosis model based on MCNN-LSTM

cnn lstm cnn-lstm bearing-fault-diagnosis

Created 2020-08-05

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

41

137

mit

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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

33

88

mit

4

This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.

cwru deep-learning fault-diagnosis machine-learning condition-monitoring bearing-fault-diagnosis machinery-condition-monitoring

Created 2019-04-18

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

1

44

mit

1

Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.

optimizer deep-learning fault-diagnosis health-monitoring optimization-benchmark bearing-fault-diagnosis

Created 2023-05-04

21 commits to main branch, last one about a year ago