Two controllers, if they are truly ustilizing multi-pathing, would actually act in parallel and would be more reliable. R = 1-(1-R)^n so to the extent they are completely seperate ( which nothing ever truly is) they would approximate R=.9999!
I can see a lot of advantages in multicore processors like these. I wonder though about the fault tolerance for a device that uses two cores and compares the results? I would think 3 cores and voting the odd one out might be slightly more expensive but better. Along those same lines the fault tolerance and ability to function in a degraded state might be really useful as well. Sensor failure or errors related to the sensors need to be accommodated as well in a fault tolerant manner.
I am a bit leary of simply adding in more redundancy. That can also lead to more failures. Correct me if I am wrong but 2 controllers with 99% reliability each when coupled are they not then 98% reliable?
In general I learned it was better to design systems with greater reliability, test it and prove it historically in production. Then only add additional redundancy if it was really required. Some systems required redundancy as a matter of course in terms of availability for maintenance and mission critical applications. Perhaps others can weigh in on this and explain this subject a little better.
I suppose part of this is the diffference between redundant and backup components? When I served on US Navy ships we had three steam driven turbogenerators for redundancy and a diesel generator for backup. But we had only one main engine. I know the costs figure into this as well as they always do.
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.