Insufficient contrast is a very subtle failure mode indeed. The system goes from functioning to intermittant to failed and nothing shows up as the cause. Hartridge has a similar problem with the linear encoders in their fuel injector system teststands, except that it is dirt, not fading. The normal fix is a new encoder for about $450, and two hours wait, and hope the new encoder is in stock. My cheap fix was to clean the scale in the encoder with denatured alcohol and a soft lense wipe tissue. Materials cost is about ten cents and the labor time is about five minutes and no recalibration is needed. But the profit is less, so the customer gets the _____.
I guess in today's highly regulated environment, this temporary black pen fix would not be enough. In addition to solving the problem immediately, a root-cause countermeasure would also be needed to be performed by the equipment manufacturer so this problem would not occur again years later.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
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.