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A novel approach for incipient fault detection in analog circuits

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Abstract

A novel approach for incipient fault detection in analog circuit is presented in this paper. A testing stimulus generating method has been proposed, based on statistical distribution characteristic of response signal for both normal state and fault state, using compactness index to indicate the deviation between the incipient fault state and normal state, so the test stimulus, which can furthest stimulate the weak fault features of incipient faults can be selected according to the compactness measuring algorithm. After using wavelet transform to the response signal, for fault feature extraction, one-class classifier Support Vector Data Description (SVDD) has been used as fault classifier for fault detection. The proposed method has been verified by experiment results, and proved to be effective especially on the incipient fault of analog circuits.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2018
EditorsJun-Bao Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages289-294
Number of pages6
ISBN (Electronic)9781538682463
DOIs
StatePublished - Jul 2018
Externally publishedYes
Event8th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2018 - Harbin, Heilongjiang, China
Duration: 19 Jul 201821 Jul 2018

Publication series

NameProceedings - 8th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2018

Conference

Conference8th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2018
Country/TerritoryChina
CityHarbin, Heilongjiang
Period19/07/1821/07/18

Keywords

  • Compactness index
  • Fault detection
  • Support vector data description
  • Test stimulus generation

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