Randy, the slides showing difference on accuracy and precision are the best explanation I have seen on the subject. One related thing not covered, and often misunderstood is resolution, i.e. number of bits/digits. Maybe you could discuss in the chat session.
I did not resolution have on the slide but did mention that resolution (specifically for digital output sensors) is impacted by the number of bits of the A/D conversion. It is representative of precision for the digital sensor. The quantization error is reduced by increasing the bit rate and the cost goes up as well. For an analog sensor with a continuous output, precision is a little more straight forward.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.