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Finding lifetime a bearing using IOT data and Remaining Utility Life (RUL)

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Kumaava/RUL-from-Vibration-Signal

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RUL-from-Vibration-Signal

Problem: To predict the remaining life of a bearing in industrial assets such as pumps, compressors, gearbox etc. Please have a look at the supporting document.

Deliverable:

• A graph showing RMS & Kurtosis • Weibull Hazard Rate & Parameter Estimates (shape & scale parameter)

Results of training & validation set

• Output performance of test set

• Training & Validation error of the proposed model (as shown in the reference research paper)

• An idea for multi sensor fusion to actually predict the remaining useful of the rotating equipment as a whole

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Finding lifetime a bearing using IOT data and Remaining Utility Life (RUL)

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