Fault Coexistence and Grading Aware TSV Test based on Delay Feature

Author:

Hao Chang1,Tianming Ni2,Yong Xu1,Feng Li1,Houjun Liang1,Yang Li3

Affiliation:

1. Anhui University of Finance and Economics, Bengbu 233030, China

2. Anhui Polytechnic University, Wuhu 241000, China

3. Jiangsu Vocational College of Business, Nantong 226000, China

Abstract

Screening out the defects in the TSV manufacturing process and eliminating the resistive open fault and leakage fault as early as possible are beneficial to improve the yield and reliability of 3D ICs. The existing prebond test methods are confined to the test accuracy and de- tection range, especially the test confusion prob- lem and the lack of diagnosable ability under the coexistence of multiple faults. Based on the uc- tuation of delay feature caused by faults, a kind of fault coexistence and grading aware TSV test method is proposed to enhance the yield and reli- ability of TSVs in this paper. The reference TSV and the TSV under test are input with test stim- uli simultaneously. Furthermore, the designed delay extraction circuit is utilized to generate the rising edge and the falling edge separately and additional fault grading circuit can be enriched according to the test requirements. Finally, a one bit comparator at the capture end is used to detect whether two pulse signals arrive simul- taneously, so as to determine whether there is a fault and the type of fault. The simulation results indicate that the detection range of resistive open fault is more than 281 , and the detection range of leakage fault is less than 223 M , which is bet- ter than most existing methods. While effective- ly solving resistive open fault and leakage fault, it can also successfully deal with the coexistence of two kinds of faults and achieve a 5-level fault grading ability with relatively low area overhead.

Publisher

North Atlantic University Union (NAUN)

Subject

Electrical and Electronic Engineering,Signal Processing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3