首页> 外文OA文献 >Built-in self-test technique for selective detection of neighbourhood pattern sensitive faults in memories
【2h】

Built-in self-test technique for selective detection of neighbourhood pattern sensitive faults in memories

机译:内置自检技术,用于选择性检测存储器中的邻域模式敏感故障

摘要

Traditional tests for memories are based on conventional fault models, involving the address decoder, individual memory cells and a limited coupling between them. The algorithms used in these tests have been successively augmented to consider stronger coupling conditions. Built-in self-test (BIST) solutions for testing memories today incorporate hardware for test pattern generation and application for a variety of these algorithms. This paper presents a BIST implementation for detection of neighbourhood pattern sensitive faults (NPSFs) in random access memories (RAMs). These faults are of different classes and types. More specifically, active, passive and static faults for distance 1 and 2 neighbourhoods, of types 1 and 2, are considered. It is shown how the proposed address generation and test pattern generation schemes can be made scaleable for the given fault type under consideration.
机译:存储器的传统测试基于常规故障模型,包括地址解码器,单个存储单元以及它们之间的有限耦合。这些测试中使用的算法已经得到了逐步增强,以考虑更强的耦合条件。如今,用于测试存储器的内置自测试(BIST)解决方案集成了用于测试模式生成的硬件以及适用于这些算法的各种算法。本文提出了一种用于检测随机存取存储器(RAM)中邻域模式敏感故障(NPSF)的BIST实现。这些故障具有不同的类别和类型。更具体地说,考虑类型1和2的距离1和2邻域的主动,被动和静态故障。显示了如何针对所考虑的给定故障类型使建议的地址生成和测试模式生成方案可缩放。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

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