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AI-based Predictive Diagnostics for Industry 4.0


This technical whitepaper is aimed at providing an overall overview of an AI-based predictive maintenance platform, developed by ZIRAK, applied to a Roller Bearing diagnostics environment.
Through the usage of neural networks and machine learning methodologies, the platform is able to report the health status of the machinery in use and predict the foreseeable lifespan of the various components. This allows to optimize maintenance tasks and production processes within the factory, reduce losses due to unscheduled stoppages and minimize manufacturing-line downtimes.

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