This is an important step forward. Bearing hot boxes have been used forever. I can remember them being used in the '70s, and they were mostly good for spotting existing problems, rather than heading off potential issues.
I wonder how this is done, exactly. Sound is applied, and the resulting frequency is measured. If it doesn't match the freq tolerance range, the wheel is rejected? Or, can the sound sensing locate the actual flaw? Like a sonar technique.
I used to know a few people that repaired industrial equipment, including train wheels. Mostly welding fractures or breaks back together. How would repairs work with this system. It almost seems like a waste to throw out a whole wheel.
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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.