Predictive Maintenance using Machine Learning

Predictive Maintenance using Machine Learning

Last Updated: NOV, 01 2020

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Abstract and figures

There is no argument that it is critical for industry to prevent failures and mishaps. For extended periods of time, unexpected events can grind operations to a halt and require costly repairs. For an oil production platform, just 12 hours of downtime could cost six to eight million dollars in lost production opportunities alone & for an aircraft, a single day of grounding costs about four to five million dollars.

Our predictive maintenance solution uses sophisticated algorithms to prevent asset failures, reduce maintenance costs, and improve system efficiency. Next-generation AI-driven prognostics learn from sensor [IoT devices] and control system data to better understand the future behavior of each asset.

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