{"title":"Fault analysis of the multiple valued logic using spectral method","authors":"Jong O. Kim, P. Lala, Y. G. Kim, Heung-Soo Kim","doi":"10.1109/ISMVL.2000.848601","DOIUrl":null,"url":null,"abstract":"A method for detecting faults in Multiple Valued Logic (MVL) is proposed. The method depends on analyzing the spectral coefficients that are transformed for the Chrestenson spectral domain. The fault detecting conditions are derived for a single input stuck-at fault, multiple input s-a-f, a s-a-f at internal lines, and Min/Max bridging fault of the MVL. Fault detection is done based on the number of coefficients affected by a fault, and hence it is independent of the technology used for construction of networks and the types of fault. This method allows detection of the fault without the test vector, and minimize the memory size for storing test vectors and response data.","PeriodicalId":334235,"journal":{"name":"Proceedings 30th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2000)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 30th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2000)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.2000.848601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A method for detecting faults in Multiple Valued Logic (MVL) is proposed. The method depends on analyzing the spectral coefficients that are transformed for the Chrestenson spectral domain. The fault detecting conditions are derived for a single input stuck-at fault, multiple input s-a-f, a s-a-f at internal lines, and Min/Max bridging fault of the MVL. Fault detection is done based on the number of coefficients affected by a fault, and hence it is independent of the technology used for construction of networks and the types of fault. This method allows detection of the fault without the test vector, and minimize the memory size for storing test vectors and response data.