A recent MachineMetrics customer has been able to reduce scrap parts by over 90%, realizing savings of $5,000/year per machine.

What is perhaps most compelling about this technology is the fact that the deployment was done completely remote and requires minimal supervision due to the autonomous nature of the solution.

Within this white paper, our Director of Data Science, Lou Zhang, explains how MachineMetrics is able to extract machine data, build predictive algorithms that detect imminent failure, and automatically communicate actions to the machine control to prevent the failure and resulting scrap parts.

You'll get an inside look at the inner-workings of the technology, as well as the significant benefits manufacturers are experiencing from deploying autonomous machining systems.