Generation of Transparent-Scan Sequences for Diagnosis of Scan Chain Faults

Author:

Pomeranz Irith1

Affiliation:

1. Purdue University, Northwestern Avenue, West Lafayette, IN

Abstract

Diagnosis of scan chain faults is important for yield learning and improvement. Procedures that generate tests for diagnosis of scan chain faults produce scan-based tests with one or more functional capture cycles between a scan-in and a scan-out operation. The approach to test generation referred to as transparent-scan has several advantages in this context. (1) It allows functional capture cycles and scan shift cycles to be interleaved arbitrarily. This increases the flexibility to assign to the scan cells values that are needed for diagnosis. (2) Test generation under transparent-scan considers a circuit model where the scan logic is included explicitly. Consequently, the test generation procedure takes into consideration the full effect of a scan chain fault. It thus produces accurate tests. (3) For the same reason, it can also target faults inside the scan logic. (4) Transparent-scan results in compact test sequences. Compaction is important because of the large volumes of fail data that scan chain faults create. The cost of transparent-scan is that it requires simulation procedures for sequential circuits, and that arbitrary sequences would be applicable to the scan select input. Motivated by the advantages of transparent-scan, and the importance of diagnosing scan chain faults, this article describes a procedure for generating transparent-scan sequences for diagnosis of scan chain faults. The procedure is also applied to produce transparent-scan sequences for diagnosis of faults inside the scan logic.

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optical Character Recognition (OCR)-Based and Gaussian Mixture Modeling-OCR-Based Slide-Level “With-Me-Ness”: Automated Measurement and Feedback of Learners’ Attention State during Video Lectures;International Journal of Human–Computer Interaction;2023-05-07

2. Test Data Compression for Transparent-Scan Sequences;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2023-04

3. Improving the Diagnosability of Scan Chain Faults Under Transparent-Scan by Observation Points;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2018-06

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