Logo image
Neighborhood pattern-sensitive fault testing and diagnostics for random-access memories
期刊文章

Neighborhood pattern-sensitive fault testing and diagnostics for random-access memories

Kuo-Liang Cheng, Ming-Fu TsaiCheng-Wen Wu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 卷.21(11), 頁碼.1328-1336
11/2002

摘要

Built-in self-test March algorithm Memory diagnostics Memory testing Neighborhood pattern-sensitive fault Software Computer Graphics and Computer-Aided Design Electrical and Electronic Engineering
The authors present test algorithms for go/no-go and diagnostic test of memories, covering neighborhood pattern-sensitive faults (NPSFs). The proposed test algorithms are March based, which have linear time complexity and result in a simple built-in self-test (BIST) implementation. Although conventional March algorithms do not generate all neighborhood patterns to test the NPSFs, they can be modified by using multiple data backgrounds such that all neighborhood patterns can be generated. The proposed multibackground March algorithms have shorter test lengths than previously reported ones, and the diagnostic test algorithm guarantees 100% diagnostic resolution for NPSFs and conventional RAM faults. Based on the proposed algorithms, the authors also present a cost-effective BIST design. The BIST circuit is programmable, and it supports March algorithms, including the proposed multibackground one.

相關連結

指標

1 檢視次數

詳細資料

Logo image