首页> 外文学位 >Built-in self-test techniques for analog and mixed signal circuits.
【24h】

Built-in self-test techniques for analog and mixed signal circuits.

机译:内置的自测技术,用于模拟和混合信号电路。

获取原文
获取原文并翻译 | 示例

摘要

The present thesis attempts to develop new techniques for testing analog parts of embedded cores-based mixed signal integrated circuits and systems. In particular, the oscillation based test methodologies have been investigated in the thesis. In the oscillation based test methods, the circuit under test (CUT) is first converted to an oscillator in the test mode and the oscillation parameters, viz. frequency, amplitude, etc. are then measured. Any deviation of these parameters causes either the oscillation frequency of the converted CUT to differ from its nominal value, or the converted CUT stops oscillation altogether. For evaluation purpose, a program has been written in C to help us in simulating our test methodologies. The program is used to inject faults to the circuit under test. The detailed experimental results provided give frequency and amplitude measurements data performed on the individual circuit blocks together with fault coverage. In this work, however, only catastrophic faults were considered. The simulation experiments carried out on different circuits not only demonstrate that the developed approaches are quite feasible but show in addition that the fault coverage is quite satisfactory (100%) in all cases.
机译:本发明试图开发用于测试基于嵌入式核的混合信号集成电路和系统的模拟部分的新技术。特别是,本文研究了基于振动的测试方法。在基于振荡的测试方法中,被测电路(CUT)首先在测试模式和振荡参数viz下转换为振荡器。然后测量频率,幅度等。这些参数的任何偏差都会导致转换后的CUT的振荡频率与其标称值不同,或者转换后的CUT完全停止振荡。为了进行评估,已经用C语言编写了一个程序来帮助我们模拟测试方法。该程序用于将故障注入被测电路。提供的详细实验结果提供了在各个电路模块上执行的频率和幅度测量数据以及故障覆盖范围。但是,在这项工作中,仅考虑了灾难性的故障。在不同电路上进行的仿真实验不仅证明了所开发的方法是可行的,而且还表明在所有情况下故障覆盖率都非常令人满意(100%)。

著录项

  • 作者

    Zakizadeh, Jila.;

  • 作者单位

    University of Ottawa (Canada).;

  • 授予单位 University of Ottawa (Canada).;
  • 学科 Engineering System Science.
  • 学位 M.Sc.
  • 年度 2005
  • 页码 79 p.
  • 总页数 79
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 系统科学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号