Rob, I think there should be rebuttal to your statement about wasted money replacing parts still in good working order.
Alaska airlines flight 261 crashed into the Pacific Ocean because a jackscrew was put back into service after passing maintenance checks that were inadequate. It suffered excessive wear because of inadequate lubrication (maintenance at fault there).
The information I had at the time said it was still .001" in tolerance.
The part was still in "good shape" (it was still within tolerance). Expected wear was .001" per 1000 flight hours, while Alaska was actually getting 12 times as much (.012" per 1000 hours).
There were a number of chances to avert the accident; one of them was to accept the cost of replacing a "good" part that was so close to being bad.
Replacing parts that are still good keeps the margin of safety of a machine well away from 1.0.
Good point, Warren. Prlobably billions have been wasted by replacing parts that were still in good shape. There is a fair chance our car oil would be effectiuve for thousands of miles more than we let it.
You have to wonder how many industries could still use this technology. Imagine the expesive parts replaced through PM that really had never been stressed. I am thinking airplanes? bull dozers, politicians?
This is a good way of managing the ownership or rental of a crane. This type of analysis has been used on plant equipment for nearly a decade now. In many cases, the data readings go to the machine vendor who maintains the machine's uptime for the manufacturer. Smart equipment makes efficient equipment.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
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.