yzbbj/Bayesian-optimized-CNN
Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis
This project helps operations engineers and maintenance professionals automate the diagnosis of machinery faults. By analyzing raw vibration data from equipment like industrial bearings, it can identify specific types of mechanical issues. The output helps maintenance teams quickly understand the health of their machinery.
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Use this if you need to automatically detect and classify equipment faults based on vibration data to improve predictive maintenance.
Not ideal if you are not working with vibration data or if you need to diagnose faults in real-time embedded systems.
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Language
MATLAB
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Last pushed
May 15, 2022
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