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This article highlights the use of linearity and bias studies to extract information on the accuracy of measurements, highlighting instruments that may need further investigation.
Before we dive into the quality issues that arise from manual data entry, let’s review the ways in which data is handled in industrial calibration processes.
Measurement devices must be calibrated regularly to ensure they perform their jobs properly. While calibration covers a wide range of applications and scenarios, the goal is simple: ensure your device is measuring to your standards.
Whether you’re doing internal calibrations or outsourcing it, it’s important to understand calibration basics. This can mean the difference between a company that runs smoothly—or scrambles to get by.
While some calibration challenges are ever-present, calibration—as with so many things this past year—has changed because of the pandemic. Manufacturers may have extended their calibration cycles for gages that were not being used, or put off calibration.
It’s not what you’re thinking. It stands for ‘overdue’ and nothing puts quality people into panic mode faster than the realization they’ve got some items in their system that are overdue for calibration and, of course, a quality audit is happening within a day or so.
On Demand During this webinar, we will introduce important components of a color program, help you determine which lighting solution is most appropriate for your visual evaluation needs, and offer tips for a successful visual evaluation program.