Publication detail

Approximate Parametric Fault Diagnosis

KINCL, Z. KOLKA, Z.

Original Title

Approximate Parametric Fault Diagnosis

English Title

Approximate Parametric Fault Diagnosis

Type

conference paper

Language

en

Original Abstract

The paper shows a procedure for testing large analog circuits or circuits with parasitic parameters via multi-frequency parametric fault diagnosis. To simplify and accelerate calculations the approximate symbolic analysis is used and unknown tested parameters are analyzed in separate frequency bands. Classification of unknown parameters into frequency bands is based on sensitivities. The proposed procedure is shown on parametric diagnosis of an EMI filter.

English abstract

The paper shows a procedure for testing large analog circuits or circuits with parasitic parameters via multi-frequency parametric fault diagnosis. To simplify and accelerate calculations the approximate symbolic analysis is used and unknown tested parameters are analyzed in separate frequency bands. Classification of unknown parameters into frequency bands is based on sensitivities. The proposed procedure is shown on parametric diagnosis of an EMI filter.

Keywords

Fault Diagnosis, Frequency Set Selection, Symbolic Approximation, Testability Analysis, EMI Filter.

RIV year

2011

Released

19.04.2011

Publisher

Brno University of Technology

Location

Brno, Czech Republic

ISBN

978-1-61284-322-3

Book

Proc. of the 21st International Conference RADIOELEKTRONIKA 2011

Pages from

199

Pages to

202

Pages count

4

BibTex


@inproceedings{BUT36842,
  author="Zdeněk {Kincl} and Zdeněk {Kolka}",
  title="Approximate Parametric Fault Diagnosis",
  annote="The paper shows a procedure for testing large analog circuits or circuits with parasitic parameters via multi-frequency parametric fault diagnosis. To simplify and accelerate calculations the approximate symbolic analysis is used and unknown tested parameters are analyzed in separate frequency bands. Classification of unknown parameters into frequency bands is based on sensitivities. The proposed procedure is shown on parametric diagnosis of an EMI filter.",
  address="Brno University of Technology",
  booktitle="Proc. of the 21st International Conference RADIOELEKTRONIKA 2011",
  chapter="36842",
  howpublished="print",
  institution="Brno University of Technology",
  year="2011",
  month="april",
  pages="199--202",
  publisher="Brno University of Technology",
  type="conference paper"
}