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FAULT DIAGNOSIS in MACHINE LEARNING
Our team focuses on advancing fault diagnosis techniques to improve the reliability and efficiency of mechanical systems
Bearing fault diagnosis using CNN-LSTM
Evaluating Cell-Phone Accelerometer and Acoustic Data
Domain generalization fault diagnosis under unseen working conditions
LLMs for Maintenance Engineering
We are working on a few LLMs projects for maintenance engineering that analyze historical data to provide predictive maintenance, troubleshooting and diagnostics.
We welcome all the students, researchers and fellows from LLMs fields and passionate about mechanical engineering!
If you are interested in it, please get in touch with us!
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