Introducing a Plug-and-Play Autonomous Machining System Using Embedded Machine Sensors

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Supercharge your predictive analytics applications with high-frequency machine data straight from the PLC to diagnose, predict, and avoid failures on your manufacturing equipment. No sensors required. It is a messy, tedious activity to acquire, parse, and clean data for analysis in a factory. When tools break, it can be costly. A tool can become damaged yet still make parts that seem to spec, but those parts end up often getting scrapped. Subtle anomalies in machine load, torque, acceleration, and spindle speed can cause parts to be made outside of required tolerances. All of this costs you time and money. MachineMetrics has connected to thousands of machine tools, enabling our data scientists to build algorithms that can predict quality defects and extend tool life. Machine tool operators label data using the operator interface when tool failures or quality defects occur. Our ML/AI Algorithms detect patterns from the hundreds of data items collected from each machine that can detect these problems before they occur again and stop the machine before failure occurs. This technology is a cornerstone of the automated factory of the future.

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Conference: AMT Technology Forum

Type: Manufacturing Technology


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