Establishing realistic test tolerance limits for test program sets
Abstract
A statistical analysis approach is taken to determine test tolerance limits for outputs of units under a test program set. The rootsumofsquares (RSS) statistical analysis used is predicted to provide for a 99.7percent yield during any type of performance testing; should the Monte Carlo approach be taken, it is expected to provide the same results for a sufficiently large number of trials. The RSS is contrasted with the worstcase and systematic analysis approaches in a computer analysis; a yield of 99.55 percent was obtained for RSS. An empirical verification of the computer analysis is also presented.
 Publication:

AUTOTESTCON 1983; Proceedings of the Conference
 Pub Date:
 1983
 Bibcode:
 1983ieee.proc..109H
 Keywords:

 Automatic Test Equipment;
 Computerized Simulation;
 Electronic Equipment Tests;
 Statistical Analysis;
 Statistical Tests;
 Tolerances (Mechanics);
 Circuit Reliability;
 Component Reliability;
 Probability Density Functions;
 Quality Control;
 Random Sampling;
 Yield;
 Electronics and Electrical Engineering