Yu Huang, Wu-Tung Cheng, S. Reddy, Cheng-Ju Hsieh, Yu-Ting Hung
{"title":"Statistical diagnosis for intermittent scan chain hold-time fault","authors":"Yu Huang, Wu-Tung Cheng, S. Reddy, Cheng-Ju Hsieh, Yu-Ting Hung","doi":"10.1109/TEST.2003.1270854","DOIUrl":null,"url":null,"abstract":"Intermittent scan chain hold-time fault is discussed in this paper and a method to diagnose the faulty site in a scan chain is proposed a s well. Unlike the previous scan chain diagnosis methods that targeted p ermanent faults only, the proposed method targets both permanent faults and intermittent faults. Three ideas are presented in this paper. First an enhanced upper bound on the location o f candidate faulty scan cells is obtained. Second a n ew method to determine a lower bound is proposed. Finally a statistical diagnosis algorithm is proposed to calculate the probabilities of t he bounded set of candidate faulty scan cells. The proposed algorithm is shown to be efficient and effective for large industrial designs with multiple faulty scan chains.","PeriodicalId":236182,"journal":{"name":"International Test Conference, 2003. Proceedings. ITC 2003.","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"68","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Test Conference, 2003. Proceedings. ITC 2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TEST.2003.1270854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 68
Abstract
Intermittent scan chain hold-time fault is discussed in this paper and a method to diagnose the faulty site in a scan chain is proposed a s well. Unlike the previous scan chain diagnosis methods that targeted p ermanent faults only, the proposed method targets both permanent faults and intermittent faults. Three ideas are presented in this paper. First an enhanced upper bound on the location o f candidate faulty scan cells is obtained. Second a n ew method to determine a lower bound is proposed. Finally a statistical diagnosis algorithm is proposed to calculate the probabilities of t he bounded set of candidate faulty scan cells. The proposed algorithm is shown to be efficient and effective for large industrial designs with multiple faulty scan chains.