Machine learning can improve hydraulic system performance through the analysis of sensors' data on temperature, pressure flow, vibration, and fluid conditions—to identify patterns that aren't visible to monitoring based on thresholds. This allows the predictive maintenance of components that detect degrading weeks prior to failure and dynamic control systems that improve valve response as well as pump performance in real-time and energy efficiency improvements up to 10% by the dynamic matching of load.
Read more: https://whyps.com/how-machine-learning-improves-hydraulic-system-performance
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