Predictive maintenance is the most efficient and effective way of managing a sizeable asset-based production facility or manufacturing site. Incorporating edge-based inference on microcontrollers and the normal core function, motor control, for example, saves considerable deployment costs. Also, conducting inference at the edge removes the need for constant and costly network bandwidth and latency challenges. In this paper, we’ll explore a motor control solution that helps reduce maintenance costs and downtime for your automation system.
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