Due to the high-risk nature of manufacturing operations, the only solution for never-fail situations has been to over-compensate for uptime with redundant equipment and too many parts on hand. It’s an unsustainable model. Many companies rely on systems that track performance of various components using sensors, but have no proactive way to trigger maintenance to avoid downtime. In this session you will learn about a solution that leverages Google Cloud IoT Core to read sensory data and predict the Remaining Useful Life (RUL) of components. See an example of an end-to end-solution that securely reads sensor data in real time, processes the data, and executes a Machine Learning model to make predictions.
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Publisher: Google Cloud
You can watch this video also at the source.