偶然检测缺陷诊断的激励平衡和附加强制条件研究

Jennifer Dworak
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引用次数: 0

摘要

随着电路规模越来越小的特征尺寸,出现的缺陷类型变得越来越复杂和难以建模。它们的行为通常不像在测试模式生成期间所考虑的错误,因此必须由模式集偶然地检测到。这种故障和缺陷的不匹配也给诊断带来了重大问题。本报告描述了对使用强制条件检测故障和缺陷的初步调查,并将其应用于缺陷诊断。它将表明,多位点观察和良好的激励平衡不仅对于充分的偶然缺陷检测至关重要,而且对于确定伴随这些检测的强制条件和含义也是必要的,从而能够对这些偶然检测到的和未建模的缺陷进行诊断
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An Investigation of Excitation Balance and Additional Mandatory Conditions for the Diagnosis of Fortuitously Detected Defects
As circuits scale to ever smaller feature sizes, the types of defects that occur become increasingly complex and difficult to model. They generally do not behave like the faults considered during test pattern generation and therefore must be fortuitously detected by the pattern set. This mismatch of faults and defects also poses significant problems for diagnosis. This presentation describes a preliminary investigation into the use of mandatory conditions for the detection of both faults and defects with applications to defect diagnosis. It will show that multiple site observations and good excitation balance are essential not only for adequate fortuitous defect detection-they are also necessary for the determination of the mandatory conditions and implications that accompany those detections, and thus enable the diagnosis of these fortuitously detected and unmodeled defects as well
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