Study on Method for Test Points Selection under Uncertainty Based on MBQPSO

Test points choosing are the beginning of optimization of design for testability. With the consideration of uncertain influences on the tests of electronic equipment, the model for design for testability was proposed based on hybrid diagnosis modified by Bayesian network. Based on the new model, the algorithm of MBQPSO was proposed, which could take use of multi-dimension searching mechanism to choose test points according to uncertain correlation matrix between failure modes and tests. With the experiment, the result of this proposed method is closer to the reality and can provide better guidance for future design for testability.