Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
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Updated
Aug 26, 2019 - Python
Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
Siamese network for bearing fault diagnosis
wdcnn model for bearing fault diagnosis
Cyclostationary analysis in angular domain for bearing fault identification
Long short-term memory based semi-supervised encoder-decoder for early prediction of failures in self-lubricating bearings
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
Vibration analysis tool, Signal processing tool
This research is conducted as part of the NSBE Aerospace SIG internship program. It is focused on investigating The Feasibility of Implementing Predictive maintenance on Rotorcraft Health and Usage Monitoring Systems.
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
Contest solution for 数境创新大赛-先进制造制造关键装置故障诊断
Researches dedicated to bearing fault diagnosis from Mandevices Laboratory
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