预先确定比较测试并利用信号电平进行准确诊断

L. Kirkland
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摘要

标准诊断方案没有做足够的分析来关注测试失败的实际原因。通常,在实际测试失败之前,测量将是测试序列的边界。这些边界线测量可用于帮助确定实际故障。实际故障和应该检测该故障的相关测试可能具有欺骗性。所讨论的特定测试可以通过,但正好在边界上。在执行以后的测试之前,故障可能不会显示在测试中。后面的测试假设所有先前的测试都通过了,因此与这些先前测试相关的电路是良好的。如果在实际失败测试之前的一些输出测量正好在边界上,则不一定会出现这种情况。我们能做什么?利用模拟故障的顺序。我们应该构建我们的tps,以便在提交R/R组件清单之前评估对初步测试的审查。初步测试的审查可以相当直接。我们可以观察在下限或上限的8-10%范围内的信号。然后,我们可以使用一个相互关联的测试方案来评估与实际失败测试相关联的测试。本文将以TPS为例,说明如何使用测试方案和评估方案来确定PCOF。本文将展示实际的测量结果,以及如何评估这些测量结果以确定故障的实际原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pre-determining comparative tests and utilizing signal levels to perform accurate diagnostics
Standard diagnostic schemes don't do enough analysis to focus in on the actual cause of a test failure. Often measurements will be border-line on test sequences prior to an actual test failure. These border-line measurements can be used to aid in the determination of an actual fault. An actual fault and the associated test that should detect that fault can be deceiving. The specific test in question can pass but be right on the border-line. The failure might not show up in testing until a later test is performed. This later test assumes all the prior tests passed and therefore the circuitry associated with these prior tests is good. This is not necessarily the case if some of the output measurements prior to the actual failing test were right on the border-line. What can we do? Take advantage of the order in which the faults are simulated1. We should structure our TPSs such that a review of preliminary tests should be evaluated before the R/R component list is presented. The review of the preliminary test can be rather straight forward. We can look at signals that are within 8–10% of the lower or upper limit. We can then use an inter-related test scheme to evaluate the test(s) that can be associated with the actual failing test. This paper will use an example TPS and show how a test scheme and an evaluation scheme can be used to determine the PCOF. The paper will show actual measurements and how these measurements can be evaluated to determine the actual cause of a failure.
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