Abstract
The paper describes a method for the detection of unreliable elements. The data on latent faults are assumed to be contained in the element parameters and characteristics. The solution rule is found by using a discrete linear algorithm for training in pattern recognition. The price of error of the first and of the second kind is recognized in finding the rule. The algorithm flowchart and description are given. A way to determine informative parameters is described. The method has been used in the development of a computer program that has been repeatedly tested in different types and lots of elements (transistors, integrated circuits, etc.). In all the examples the percentage of correct recognition of elements from test samples ranged from 70 through 90. With appropriate data available the method provides forecasting of reliability indices and reduction of the number of tests and abolition of training sessions.
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