Aficionado45/IM-Fault-Detection
Working in the field of predictive modelling to detect and classify various types of faults in induction motors by deploying various ML algorithms over the vibration and current signals data.
This project helps maintenance engineers and operations managers predict and classify common faults in induction motors before they cause costly breakdowns. By analyzing vibration and current sensor data from your motors, it identifies issues like bearing faults or rotor misalignment, providing clear insights into the motor's health. It's designed for anyone managing industrial machinery who needs to anticipate and address motor problems proactively.
No commits in the last 6 months.
Use this if you are responsible for maintaining industrial induction motors and want to shift from reactive repairs to predictive maintenance based on sensor data.
Not ideal if you need a solution for a different type of machinery, or if you don't have access to vibration and current sensor data from your motors.
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9
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1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 13, 2022
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