Measurement Overkill and why “Accuracy” is the Wrong Word – #42
Metrology Electrical Engineering Podcast – EEs Talk Tech on YouTube

Metrology Podcast

May 20th is a special day – World Metrology Day! Get a bit of history and learn about all things metrology when you join Daniel Bogdanoff, Bob Stern, and Chris Cox in this special Metrology Day electrical engineering podcast!

App note mentioned by Bob:

More about Keysight metrology, calibration, and services:

Topics and time tags:

0:00 World metrology day, and a brief history of the meter and the ohm

2:00 Keysight University has FREE test gear courses!

2:45 Bob Stern, Keysight Metrologist Chris Cox, Keysight Regional Metrologist

4:30 Why does metrology matter? How does it impact us? The global economy relies on a consistency of measurement and test, which is why metrology is important. It allows measurements made in one country to be used and replicated in other countries.

7:25 Metrology and measurement traceability is important. An unbroken chain of traceability is one of the key components of metrology and calibration. It’s a bit like a game of telephone leading back to SI units.

10:00 Keysight DMMs get calibrated off the first commercially available Josephson Junction – a tool that uses quantum physics to provide a very stable voltage.

11:16 Accuracy vs. Measurement Uncertainty A production engineer might say “accuracy” but really it’s all about “measurement uncertainty” Vocabulary of international metrology (VIM):

12:15 A practical example of how different instruments have different levels of uncertainty

13:45 What’s the significance of measurement uncertainty for a user of test gear or a production engineer?

15:33 The internal adjustments that the factory makes to an instrument are some of the most closely guarded intellectual property / trade secrets.

18:15 The Army uses mobile Josephson junctions to test the DMMs used in Apache helicopter field testing.

18:45 Metrology overkills – times when people went overboard with their measurement uncertainty

21:10 How do you quantify measurement uncertainty? There’s “test uncertainty ratio” which uses your expanded measurement uncertainty.

23:00 You can also get to percent risk, which is easy to wrap your head around. Bob Stern and Chris Cox authored some papers on this topic.

24:00 Why do people make measurements in the first place? There are no perfect measurements

26:45 Metrology in the government/military vs. private sector

29:00 There are a lot of factors for metrology equipment calibration and the engineering metrology equipment. There are different “levels” of calibration and different depth of reporting

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IoT For All Podcast
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In episode 99 of the IoT For All Podcast, Augury Co-Founder and CEO Saar Yoskovitz joins us to share his experience founding and growing an AI-based Machine Health company. Saar talks about the challenges and benefits of building a full-stack IoT company, what he learned while raising $55m in D-series funding, and some of the greatest challenges involved in implementing AI in IoT solutions. Since co-founding Augury in 2011 Saar has been working with customers and partners to transform how they work to make products, deliver services and improve lives through real-time insight into the health and performance of industrial equipment and systems. Saar holds a dual bachelor's degree in electrical engineering and physics from the Technion, the Israel Institute of Technology. Before launching Augury, Saar worked at Intel as an Analog Architect. Interested in connecting with Saar? Reach out to him on Linkedin! About Augury: Augury works with the largest manufacturing companies, like Colgate, Essity, and Hersheys to make their production lines more reliable and productive. We offer Machine Health-as-a-Service - a full-stack solution from IIoT-enabled sensors to specific outcomes and actionable insights that predict and help prevent unplanned industrial equipment failures and downtime.Key Questions and Topics from this Episode: (00:57) Intro to Saar (03:33) Intro to Augury (05:28) What are some of the benefits and challenges with going full-stack as a solution provider? (12:51) Are there any use cases you can share? (16:34) What’s your view on the current state of the industrial and manufacturing IoT space? What has COVID’s influence been? (22:51) What’re the biggest challenges involved in implementing AI into your solutions for customers? (26:23) What was it like raising funding? What do you feel are the biggest challenges for IoT companies looking to raise funds? (30:27) What are the biggest challenges for companies looking to grow a global presence? Do you have any advice?
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29 min
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