SimpleKidd/Fault-Diagnosis-of-a-Rotor-Bearing-System-using-ML
Analyzing Vibrational Data of the System using Machine Learning
This project helps operations engineers and maintenance technicians diagnose faults in rotor-bearing systems by analyzing vibrational data. It takes raw measurements of force, pressure, and displacement from the system and outputs a diagnosis of potential issues. This is designed for professionals managing machinery in manufacturing, power generation, or similar industrial settings.
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Use this if you need to quickly identify and classify common faults in rotor-bearing systems based on their unique vibration signatures.
Not ideal if you require real-time fault prediction or detailed root-cause analysis beyond fault classification.
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Last pushed
Aug 06, 2023
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