Advances in Computers, Vol. 17 by Marshall C. Yovits

By Marshall C. Yovits

On the grounds that its first quantity in 1960, Advances in pcs has provided unique insurance of ideas in and software program and in desktop idea, layout, and purposes. It has additionally supplied individuals with a medium during which they could study their topics in larger intensity and breadth than that allowed through commonplace magazine articles. consequently, many articles became normal references that remain of vital, lasting worth regardless of the speedy progress happening within the box.

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The random variables themselves can form Problem, Process, and Product 33 a discrete or continuous range. They can have various probability distributions. One common probability distribution for failure random processes is Poisson. 04 The other principal characteristic of a random process is the form of the variation of the process in time. We can have a discrete or continuous time random process. We will look at the time variation from two different viewpoints, the mean value function and the failure intensity function.

If you know that a component has sufficient reliability for your product from previous experience, it is not necessary to test it separately. If you are not sure of the component but have a good relationship with the supplier, you may decide to have them perform reliability growth test, under surveillance, and skip the acceptance testing, saving time and cost. Note that size is an important factor in deciding whether to test a component. If the component is a major one, testing it separately can be cost effective.

Don't really know when the next failure will occur. If we did, we would try to prevent or avoid it. We only know a set of possible times of failure occurrence and the probability of each. The probability of each time of occurrence is the fraction of cases for which it occurs. Note that "random" does not carry any connotation of true irrationality or unpredictability, as some mistakenly assume. "Random" means "unpredictable" only in the sense that the exact value is not known. However, the average value and some sense of the dispersion are known.

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