A. Cook, S. Hellebrand, M. Imhof, A. Mumtaz, H. Wunderlich
{"title":"Built-in self-diagnosis targeting arbitrary defects with partial pseudo-exhaustive test","authors":"A. Cook, S. Hellebrand, M. Imhof, A. Mumtaz, H. Wunderlich","doi":"10.1109/LATW.2012.6261229","DOIUrl":null,"url":null,"abstract":"Pseudo-exhaustive test completely verifies all output functions of a combinational circuit, which provides a high coverage of non-target faults and allows an efficient on-chip implementation. To avoid long test times caused by large output cones, partial pseudo-exhaustive test (P-PET) has been proposed recently. Here only cones with a limited number of inputs are tested exhaustively, and the remaining faults are targeted with deterministic patterns. Using P-PET patterns for built-in diagnosis, however, is challenging because of the large amount of associated response data. This paper presents a built-in diagnosis scheme which only relies on sparsely distributed data in the response sequence, but still preserves the benefits of P-PET.","PeriodicalId":173735,"journal":{"name":"2012 13th Latin American Test Workshop (LATW)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th Latin American Test Workshop (LATW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LATW.2012.6261229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Pseudo-exhaustive test completely verifies all output functions of a combinational circuit, which provides a high coverage of non-target faults and allows an efficient on-chip implementation. To avoid long test times caused by large output cones, partial pseudo-exhaustive test (P-PET) has been proposed recently. Here only cones with a limited number of inputs are tested exhaustively, and the remaining faults are targeted with deterministic patterns. Using P-PET patterns for built-in diagnosis, however, is challenging because of the large amount of associated response data. This paper presents a built-in diagnosis scheme which only relies on sparsely distributed data in the response sequence, but still preserves the benefits of P-PET.