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Jeremy Marquis | July 10, 2018

The Easy Way to Add a Web-Based User Interface for Your Test System

Web accessibility is more important than ever, as people across an enterprise require remote access to different types of data from their monitoring, control, or automated test systems. Traditionally, reviewing information outside of a test machine required creating and installing individual data-viewing utilities on multiple machines, or hiring a web programmer to create a mobile data application. But now there is an easier way.

Dave Baker | June 19, 2018

Dynamic Customization of User Interfaces Using LabVIEW

Chances are, there are multiple people interacting with your test and measurement systems, each with their own job functions requiring access to different information at different times. Wouldn’t it be great if each of these users could customize the user interface (UI) themselves, even if they don’t know how to program?

James Duvall | June 07, 2018

G Systems Run Test Demo With SystemLink Debuts at NIWeek 2018

The new solution supports numerous production lines across multiple locations

 

G Systems recently debuted an end of run test demo created for customers who manage numerous production lines across multiple locations. Our solution can help companies become aware of small or potential manufacturing line problems before they become major catastrophes.

James Duvall | May 03, 2018

Video: Upgrading a Custom Test System for the U.S. Navy’s MK 41 Vertical Launching System

The U.S. Navy needed new automated test systems to support their MK41 Vertical Launching System (VLS) missile upgrades. From requirements, G Systems designed and built a new ATE with full wrap-around self-test coverage and a built in self-calibration routine.

Russell Blake | April 30, 2018

Using Automated Self-Calibration in Your High-Channel-Count Systems

Reduce downtime and improve data integrity by using self-test and self-calibration verification

 

I recently read an article called AI’s biggest risk factor: Data gone wrong that went into detail about the risk and mitigation of risk of incorrect data to artificial intelligence (AI). This article got me thinking about the importance of accurate data as it applies to my industry, automated test and measurement systems. For example, how do you know that you can trust the data you collect from your high-channel-count data acquisition system?

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