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Fault diagnosis in analog electronic circuits - the SVM approach

  • Silesian University of Technology

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

Abstract

In this paper, the application of the SVM (Support Vector Machine) algorithm has been used for diagnosis and tests of analog electronic circuits. The diagnosis procedure belongs to simulation-before-test techniques, where simulations of the circuit under test (CUT) are performed at the before-test stage. Two examples have been verified for parametric and catastrophic faults in the time domain, but the conclusion is driven with the use of assumed features. A fault-driven test (FDT) has been applied to a filter circuit and a specification-driven test (SDT) to a field-programmable analog array (FPAA). The SVM classifies features which are calculated from the time domain responses. Results obtained from the examples prove a high detection and localization level of circuit states with the use of the SVM classifier.

Original languageEnglish
Pages (from-to)583-597
Number of pages15
JournalMetrology and Measurement Systems
Volume16
Issue number4
Publication statusPublished - 2009

Keywords

  • Electronic circuits
  • Fault diagnosis
  • Support vector machine SVM

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation

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