Deadweight vs. Hydraulic Force Calibration: Understanding the Difference Selecting between Deadweight vs Hydraulic Force Calibration is one of the most critical decisions in any force calibration laboratory. The choice directly impacts measurement uncertainty, productivity, and compliance with international standards such as ISO 376 and ASTM E74. This document explains how each method realizes force, the […]
Understanding the Normal Distribution The normal distribution, sometimes called the bell curve or Gaussian distribution, is one of the most important concepts in statistics. It describes how values of a variable are spread, and it often appears in nature, science, and everyday life. What is the Normal Distribution? At its core, the normal distribution […]
The Role of the En Ratio in Force Calibration Confidence In the world of calibration, proving that your measurements are both accurate and defensible goes beyond simply watching control charts. While control charts are powerful for spotting drift or unusual trends, they don’t answer a critical question: are our stated measurement capabilities truly valid? To […]
Understanding Risk: Making Better Measurement Decisions Understanding Risk Intro: Why Measurements Aren’t Always Exact Every measurement we take comes with some level of doubt. This doubt is called measurement uncertainty. It’s the range within which the “true value” probably lies. When understanding risk, think of it like reading a ruler: if your eyes […]
Start With the End in Mind: Working Backwards to Size Your Measurement Equipment and Calibration Provider A practical, risk-informed method for selecting equipment, decision rules, and calibration providers Abstract Begin with the decision you must defend—product conformance with acceptable risk—and work backwards to derive the measurement capability required of both your equipment and your […]
Which Force Machine Should I Choose? Anyone in metrology has asked—or been asked—this question at some point: “What’s the right force machine for my application?” How do you decide? Word of mouth? A manufacturer’s reputation? Measurement uncertainty? Overall quality? Price? Or some combination of them all? It’s a lot like buying a car. […]
