Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
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Updated
Mar 17, 2023 - Python
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
Siamese network for bearing fault diagnosis
Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
Cyclostationary analysis in angular domain for bearing fault identification
wdcnn model for bearing fault diagnosis
Contest solution for 数境创新大赛-先进制造制造关键装置故障诊断
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
Researches dedicated to bearing fault diagnosis from Mandevices Laboratory
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.
Long short-term memory based semi-supervised encoder-decoder for early prediction of failures in self-lubricating bearings
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