Pin Specific ESD Soft Failure Characterization using a Fully Automated Set-Up

Abstract

A fully automated system is developed for the systematic characterization of soft failure robustness for a DUT. The methodology is founded on software-based detection methods and applied to a USB3 interface. The approach is extendable to other interfaces and measurement-based failure detection methods.

Meeting Name

2018 40th Electrical Overstress/Electrostatic Discharge Symposium, EOS/ESD 2018 (2018: Sep. 23-28, Reno, NV)

Department(s)

Electrical and Computer Engineering

Comments

The material is based upon work supported by the National Science Foundation, Grant IIP-1440110. The authors would like to thank Nicholas Erickson of Missouri S&T EMC Laboratory for constructive criticism of the manuscript.

Keywords and Phrases

Automation; Detection methods; Failure detection method; Fully automated; Measurement-based; Other interfaces; Soft failure; Failure (mechanical)

International Standard Book Number (ISBN)

978-1-5853-7302-4

International Standard Serial Number (ISSN)

0739-5159

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 ESD Association, All rights reserved.

Publication Date

01 Sep 2018

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