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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.
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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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