Category : Papers & Articles

How to Add Dynamic Measurement Uncertainties to Any Metrology Software

Changing the approach to measurement uncertainties allows software systems and users to share the same resources.
By Michael L. Schwartz & Karl Haynes

How to Add Dynamic Measurement Uncertainties to Any Metrology Software
Quality Magazine | October 2015

An Enterprise Resource View of Metrology Software Systems

Abstract: Software running on a single computer or platform is a thing of the past. Today’s metrology software needs to be scalable, flexible, and dynamic. It must be designed to integrate with enterprise business systems, taking full advantage of distributed computing and service oriented protocols.

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Calibrating a UUT on a Remote Computer Using Fluke MET/CAL®

Abstract: Current and next generation test equipment will be modular and tightly coupled with a computer’s operating system. Calibration labs have to be highly dynamic supporting all the measurement test systems turned in for calibration. This presents challenges for automation, but technologies can be designed to work together. This paper will show how a Fluke MET/CAL® procedure can be written integrating Metrology.NET™ tools to remotely calibrate a UUT connected to a remote computer on a completely different operating system. To do so, we will first cover the basic design patterns of remote computing, show how we create the command interface for a non-message based instrument, then how to remotely communicate with the instrument.

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Rethinking the Flexible Standards Paradigm

Abstract: In many of today’s software projects, developers are challenged with the task of designing interchangeable standards architecture into their metrology based applications. Currently, many developers see an oscilloscope as an oscilloscope and believe that all oscilloscopes are created equal, Read More…

Using Fluke MET/CAL® to Implement a Flexible Measurement Driver Model with Expanded Measurement Uncertainties and Error Checking

Abstract: Writing one or two automated procedures is easy; however, automating an entire calibration lab is not an easy undertaking. Even with today’s software tools built specifically for metrology, a significant effort must to be put into designing an architecture that will foster the reuse of code, flexibility of standards and incorporate expanded measurement uncertainties. Companies and/or developers who skip this crucial step are quickly overwhelmed with rework that ultimately hinders long-term productivity. Read More…

Implementing A2LA’s new Budget Requirements for Electrical and RF Uncertainties in Fluke MET/CAL® Procedures

Abstract: In April of 2009, the A2LA Measurement Advisory Committee adopted the minimum required contributors that must be included in your Electrical and RF & Microwave uncertainty budgets that support the Calibration and Measurement Capabilities (CMC) on the scope of accreditation. Read More…

Spaghetti Code vs. Structured Code

What is spaghetti code? We have all heard the term spaghetti code, but most of us don’t know what spaghetti code is or why it is a problem. To those of us who are lab managers and/or quality managers (i.e. non-programmers) when we look at procedure, it looks a lot like reading a foreign language. Read More…

There Is More to Power Sensors Than Cal Factors

As most of you already know, RF power sensors require periodic calibration. Power sensors are usually calibrated once a year by either your company’s in-house calibration lab or by sending them to a reputable third party calibration lab. But that doesn’t mean your power sensors are working properly, Read More…