efantinatti/MAFAULDA_SEP769
Machinery Fault Database
This project helps operations engineers and maintenance professionals detect if industrial machinery, specifically motors, are running normally or are imbalanced. It takes raw sensor data from accelerometers and a tachometer as input and outputs a classification of the machine's operational status. This is useful for anyone needing to monitor the health of rotating machinery.
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Use this if you are an operations engineer or maintenance technician who needs to automatically identify imbalanced conditions in machinery using vibration and rotation speed sensor data.
Not ideal if you need to detect a broader range of faults beyond normal or imbalance, such as misalignment or bearing faults.
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Last pushed
Jul 28, 2021
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