alireza-javanmardi/bearing-RUL
Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions (PHME24)
This project helps maintenance engineers and reliability specialists predict when industrial bearings will fail, even when their operating conditions change over time. It takes raw vibration data and operating condition information, then processes it to output an estimated remaining useful lifetime (RUL) for each bearing. This allows for proactive maintenance scheduling and prevents unexpected equipment downtime.
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Use this if you need to accurately predict the remaining lifespan of critical bearings in machinery that experiences fluctuating loads or speeds.
Not ideal if you are looking for a general-purpose predictive maintenance tool for all machinery components, rather than specifically for bearings.
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Jul 01, 2024
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