ChaitanyaK77/Predictive-Maintenance-of-Gearbox-using-vibration-sensors-data-

This project focuses on the critical task of predictive maintenance in industrial settings, specifically targeting gearbox machinery. By harnessing the power of vibration sensor data, I have developed a predictive maintenance solution that enables early detection of potential faults and failures in gearboxes

20
/ 100
Experimental

This helps industrial maintenance teams proactively monitor the health of critical gearbox machinery. By analyzing continuous vibration sensor data, it identifies early signs of potential faults like gear wear or misalignment. The output helps maintenance managers schedule timely repairs, preventing unexpected breakdowns and costly production stoppages.

No commits in the last 6 months.

Use this if you manage industrial equipment and want to move from reactive repairs to a data-driven approach for maintaining gearboxes.

Not ideal if you are looking for a general-purpose predictive maintenance solution for all types of industrial assets beyond gearboxes.

industrial-maintenance gearbox-monitoring vibration-analysis equipment-reliability factory-operations
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

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1

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Jupyter Notebook

License

Last pushed

Aug 25, 2023

Commits (30d)

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