首页> 外文会议>IEEE AUTOTESTCON Conference >Built in Test - Coverage and Diagnostics: You can't do one without the other if you want to be successful
【24h】

Built in Test - Coverage and Diagnostics: You can't do one without the other if you want to be successful

机译:建立在测试 - 覆盖和诊断:如果您想要成功,您不能没有其他人

获取原文

摘要

Idealy, everyone would like to embed test into their products today, whether it's to reduce costs, build in support capabilities, ensure better quality, reduce dependacy on expert technicians, or for one of many other intelligent motivations. However, it seems the technology of Built in Test (BIT) has not taken off or been adopted like many believed it would. The reasons for this poor adoption are diverse: some blame it on design, others fault product specifications and even others blame it on the fundementals of the technology itself. The underlying root cause of slow BIT adoption may be a result of an inaccurate belief that designing an embedded test is more difficult than designing any other test. In reality, understanding what to embed is simply a function of knowing the coverage you are seeking and at what level you want to be able to diagnose the problem when a failure occurs. Presented in this paper are several considerations on how to best approach Built in Test. This preferred approach is illustrated by explaining the importance of understanding how to achieve effective and appropriate coverage levels, while also maintaining a useful level of diagnostic resolution. Understanding and application of these concepts will effectively enable optimal design and implementation of Built in Test.
机译:思考,每个人都希望在今天嵌入他们的产品,无论是降低成本,建立在支持能力,保证更好的质量,减少对专家技术人员的依赖,还是对于许多其他智能动机的依赖。但是,似乎似乎建立了测试(位)的技术没有被采取或被采用,如许多人认为它会。这种糟糕采用的原因是多元化的:有些人归咎于设计,其他故障产品规格甚至其他人归咎于技术本身的基础。慢比采用的根本原因可能是不准确的信念,即设计嵌入式测试比设计任何其他测试更困难。实际上,了解要嵌入的内容只是了解您正在寻求覆盖范围的功能,并且在发生故障时,您希望能够诊断问题的级别。本文介绍了有关如何测试测试中建立的最佳方法的几个考虑因素。通过解释理解如何实现有效和适当的覆盖水平的重要性,同时还提供了对如何实现有效和适当的覆盖水平的重要性来说明的。对这些概念的理解和应用将有效实现内置测试的最佳设计和实现。

著录项

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