A Multifault Testing Method for TSVs Based on GAF-DRSN and Mirror Constant Current Source Structure

Three-dimensional stacked integration based on through-silicon via (TSV) meets the high-speed development requirements of integrated circuits (ICs). However, TSV is a sensitive unit prone to manufacturing defects, with common faults being void faults and leakage faults. When TSV exhibits multifault, such as simultaneous resistive void fault and current leakage fault, the reliability of 3-D ICs is significantly reduced compared to single faults. To address this, this article proposes a TSV multifault testing method based on a Gramian angular field (GAF), deep residual shrinking network (DRSN), and a mirror constant current source structure. The mirror constant current source circuit is initially designed in the method, with the load structure being TSV and TSV charge/discharge rates are measured as testing parameters. Then, the GAF is employed to transform the acquired charge/discharge signals into 2-D images. Ultimately, the DRSN model should be applied to precisely detect faults in the transformed TSV images representing different fault types. The results demonstrate the effectiveness of the proposed method in classifying TSV fault types, with an average accuracy exceeding 98%. The method exhibits notable advantages, including high accuracy and robust generalization capabilities.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Components Packaging and Manufacturing Technology
Published
2024-09-09
DOI
https://doi.org/10.1109/tcpmt.2024.3456228
Citations
2
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
Field-Weighted Citation Impact
0.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multifault Testing Method for TSVs Based on GAF-DRSN and Mirror Constant Current Source Structure

Jintao Zhang, Chunquan Li, Junji Li, Yuling Shang et al.
2 citations
IEEE Transactions on Components Packaging and Manufacturing Technology
Integrated Circuits and Semiconductor Failure Analysis
0.42
article

A Multifault Testing Method for TSVs Based on GAF-DRSN and Mirror Constant Current Source Structure

Jintao Zhang, Chunquan Li, Junji Li, Yuling Shang, Longlu Geng, Gefei Duan, Zhuofan Song
article en
2 citations

Abstract

Three-dimensional stacked integration based on through-silicon via (TSV) meets the high-speed development requirements of integrated circuits (ICs). However, TSV is a sensitive unit prone to manufacturing defects, with common faults being void faults and leakage faults. When TSV exhibits multifault, such as simultaneous resistive void fault and current leakage fault, the reliability of 3-D ICs is significantly reduced compared to single faults. To address this, this article proposes a TSV multifault testing method based on a Gramian angular field (GAF), deep residual shrinking network (DRSN), and a mirror constant current source structure. The mirror constant current source circuit is initially designed in the method, with the load structure being TSV and TSV charge/discharge rates are measured as testing parameters. Then, the GAF is employed to transform the acquired charge/discharge signals into 2-D images. Ultimately, the DRSN model should be applied to precisely detect faults in the transformed TSV images representing different fault types. The results demonstrate the effectiveness of the proposed method in classifying TSV fault types, with an average accuracy exceeding 98%. The method exhibits notable advantages, including high accuracy and robust generalization capabilities.

IEEE Transactions on Components Packaging and Manufacturing TechnologyVol. 14(10)
Guilin University of Electronic Technology (CN)
Foundation for Innovative Research Groups of the National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 38%
Integrated Circuits and Semiconductor Failure Analysis
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.