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Data-Driven Manufacturing
AI Demands Meaningful Metrics
Machine learning can identify patterns and trends faster than any human, but correlations are only as meaningful as the data driving the analysis.
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Taking A Reading on Gages
Are we taking advantage of the vast amounts of dimensional information that a gage or hand tool can produce? Certainly not if the information presented on the gage display reads only “over,” “under” or “good.”
Read MoreSiemens PLM Changes Name to Siemens Digital Industries Software
The name change is a reflection of its new central role in the Siemens Digital Industries business.
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NUMmonitor Software Enables Monitoring of Transfer and Multi-Process Machines
NUM’s NUMmonitor software is said to enable users of multi-process CNC machine tools such as transfer machines to implement process monitoring without incurring additional hardware costs.
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5 Impressions of EMO 2019, from Automated to Autonomous Manufacturing
The robot show? Not quite that. But automation and the expectation of processes that can run unattended if needed are clearly core to manufacturing now.
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Talk About 5G Is No Idle Chatter
Near-real-time machining vibration compensation is just one advantage of the latest networking technology.
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GF Machining Solutions' rConnect Dasboard Collects, Compares Shop Data
GF Machining Solutions has introduced rConnect, a digital services platform powered by Open Platform Communications Unified Architecture (OPC UA) protocol.
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Merging Advances: Lights-Out Machining Combines Automation and Focused Process Improvement
One of the most significant developments in machining right now is easy to miss because it is the union of two different advances coming together.
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Using AI for Predictive Maintenance, Employee Development
Maximo from IBM Watson can use "true AI" software to implement predictive maintenance and AR-assisted repair using the sensors that come standard on CNC machine tools.
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3 Principles for Growing with Machine Monitoring Data
Following a few basic principles can help shops get a return on their machine monitoring systems without losing faith first.
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