Modelling methods for testability analysis of analog integrated circuits based on pole-zero analysis
Testability analysis for analog circuits provides valuable information for designers and test engineers. Such information includes a number of testable and nontestable elements of a circuit, ambiguity groups, and nodes to be tested. This information is useful for solving the fault diagnosis problem. In order to verify the functionality of analog circuits, a large number of specifications have to be checked. However, checking all circuit specifications can result in prohibitive testing times on expensive automated test equipment. Therefore, the test engineer has to select a finite subset of specifications to be measured. This subset of specifications must result in reducing the test time and guaranteeing that no faulty chips are shipped. This research develops a novel methodology for testability analysis of linear analog circuits based on pole-zero analysis and on pole-zero sensitivity analysis. Based on this methodology, a new interpretation of ambiguity groups is provided relying on the circuit theory. The testability analysis methodology can be employed as a guideline for constructing fault diagnosis equations and for selecting the test nodes. We have also proposed an algorithm for selecting specifications that need to be measured. The element testability concept will be introduced. This concept provides the degree of difficulty in testing circuit elements. The value of the element testability can easily be obtained using the pole sensitivities. Then, specifications which need to be measured can be selected based on this concept. Consequently, the selected measurements can be utilized for reducing the test time without sacrificing the fault coverage and maximizing the information for fault diagnosis.