Use cutting-edge embedded data analytics on real-time telemetry data and a power system reliability model to dynamically recalculate the failure rate of the entire electronic system.
This white paper introduces an innovative solution, which is designed to transform traditional reliability prediction procedures into the industry’s first commercially available embedded power supply health monitoring solution. This approach uses cutting-edge embedded data analytics on real-time telemetry data and a power system reliability model to dynamically recalculate the failure rate of the entire electronic system. This failure rate can be utilized for health monitoring, dynamic failure predictions and data-driven maintenance strategies that significantly reduce downtime and extend equipment lifespan. An analysis begins by providing an overview of the foundations and benefits of health monitoring technology. In continuation, the challenges of why health monitoring for power supply is not very well established in the market are explored. The novel solution, presented next, addresses these challenges through a combination of live failure rate computations through reliability modeling, and sophisticated data logging techniques, ensuring that businesses can maintain optimal performance and safety. The white paper offers a deeper insight into the technology that creates the future of power supply reliability. By reading the paper, a reader can discover how this solution provides insights for predictive maintenance, improves system reliability, and offers reliable system predictions, all while being integrated into existing infrastructures.
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