Published inTowards Data ScienceRecently Discovered Use Cases (Part 1)Over the last few months, we’ve been quietly monitoring and discovering new use cases for our predictive machining product.Feb 19, 2021Feb 19, 2021
Published inTowards Data ScienceAn Autonomous Machining System for Optimizing Factory OutputUsing 21st Century Techniques to Combat a 20th Century MindsetSep 29, 2020Sep 29, 2020
Published inTowards Data ScienceIntroducing..the Inaugural MachineMetrics 8 TrackBringing us one step closer to scalable mass deployment of automated machining.Apr 24, 20201Apr 24, 20201
Published inMachineMetrics Tech BlogUnlocking the power of high-frequency control dataWhy High-Frequency Data?Jan 20, 2020Jan 20, 2020
Published inMachineMetrics Tech BlogTracking Economic Indicators with MachineMetrics DataAlternative uses for our dataMar 22, 20191Mar 22, 20191
Published inMachineMetrics Tech BlogExperiments in Optimizing Tool Life with Amperage Data (Part 1)Experiments in Tooling AnalyticsNov 30, 2018Nov 30, 2018
Published inMachineMetrics Tech BlogDetecting CNC Anomalies with Unsupervised Learning (Part 4)In the fourth installment of this series, we’ll take a look at some examples of anomalies we caught in live machining environments. We’ll…Aug 17, 2018Aug 17, 2018
Published inMachineMetrics Tech BlogDetecting CNC Anomalies with Unsupervised Learning (Part 3)In parts 1 and 2, we discussed the business problem and preprocessing involved with detecting anomalous behavior on machines. In this post…Aug 1, 2018Aug 1, 2018
Published inMachineMetrics Tech BlogDetecting CNC Anomalies with Unsupervised Learning (Part 2)In the last post of this series, we went over why it was important to try and detect anomalous behavior on machines. In this post, we’ll…Jul 12, 2018Jul 12, 2018
Published inMachineMetrics Tech BlogDetecting CNC Anomalies with Unsupervised Learning (Part 1)In the world of Computer Numerically Controlled (CNC) machining, many operators struggle to keep their machines on schedule and running…Jul 5, 2018Jul 5, 2018
