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

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

wdcnn model for bearing fault diagnosis

Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.

Bearing Fault Detection and Classification Based on Temporal Convolutions and LSTM Network in Induction Machine Systems

Vibration analysis tool, Signal processing tool

Cyclostationary analysis in angular domain for bearing fault identification

Researches dedicated to bearing fault diagnosis from Mandevices Laboratory

Long short-term memory based semi-supervised encoder-decoder for early prediction of failures in self-lubricating bearings

Contest solution for 数境创新大赛-先进制造制造关键装置故障诊断

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.