• DocumentCode
    3579818
  • Title

    Learning the Distance between Circuit Structures for Fault Tolerance of Redundant System

  • Author

    Yong Zheng ; Jingsong He

  • Author_Institution
    Dept. of Electron. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    1
  • fYear
    2014
  • Firstpage
    207
  • Lastpage
    211
  • Abstract
    The fault-tolerant design is a very important part of electronic system design. Redundant fault-tolerant design is a kind of fault-tolerant design method, it is simple and effective. The previous researchers pay more attention to the influence of the output of circuits on the fault-tolerance of redundant system. Compared with the previous works, the characteristic of this paper is that we will study the circuit structure´s influence on the system´s fault tolerance. First we propose a matrix representation method which describes the structure of analog circuit with a matrix. By calculating the Euclidean distance between the structures of circuit, we find that the distance is inversely proportional to system´s fault tolerance. Finally, we introduce a matric learning method based on the Mahalanobis distance. Experiment results show that under the effect of the new learned distance matric, along with the decrease of the distance between circuit structures, the system´s fault tolerance will deteriorate. The relationship is useful for us to build redundancy fault-tolerant system.
  • Keywords
    analogue circuits; fault tolerance; matrix algebra; network synthesis; Euclidean distance; Mahalanobis distance; analog circuit; circuit structure; electronic system design; matrix learning method; matrix representation method; redundant fault-tolerant design method; redundant system; Analog circuits; Circuit faults; Euclidean distance; Fault tolerance; Fault tolerant systems; Symmetric matrices; fault-tolerant design; matric learning; matrix representation method; redundant system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
  • Print_ISBN
    978-1-4799-7004-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2014.135
  • Filename
    7064174