Splitting image: How digital twins can drive value

By Jonathan Holdowsky

I have heard it said that, somewhere in the world, there is someone who could be your exact double. Now, I’m not referring to genetic twins. I am talking about look-alikes who have no blood relation to you whatsoever. Whatever its scientific basis, this spooky notion has often found its way throughout literature, mythology, and film. The Germans name this ghostly counterpart a “doppelganger”; the French, a less awkward “sosie”. That there could be a twin stranger somewhere in the world may strike you as unsettling—or quaintly amusing. But if you ever did cross paths with your doppelganger, you could at least take solace in the fact that the resemblance would be merely skin-deep. This mirror companion would not actually be you.

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Five steps to reach Smart Predictive Maintenance

By Chris Coleman and Ryan Manes

Smart Predictive Maintenance accelerates the maintenance journey and has potential to increase machine availability and visibility across an entire asset network.

New techniques can improve plant throughput

Maintenance professionals today can face a number of issues, often including outsourcing, cost cutting, scarcity of experienced labor and increasing complexity of equipment. Whatever the challenge, maintenance and reliability professionals share a common goal – to maximize machine availability. Yet traditional maintenance programs can only take you so far. In fact, machine failures go well beyond statistical time-based failure. Recent studies show that only 20 percent of machine failures are time-based, while the other 80 percent of failures occur either in the infant mortality startup phase or most often due to random or unknown failure.1 But truly, no failure is random, only that the root causes have gone unidentified. Modern maintenance techniques can help detect impending failures before they happen with typically more accuracy than time-based approaches. For manufacturers, exceptional asset maintenance can be a strategic differentiator in improving a plant’s throughput, efficiency, quality and safety.

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