Analog fault diagnosis : a fault clustering approach

S.S. Somayajula, E. Sanchez-Sinencio, J. Pineda de Gyvez

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    199 Downloads (Pure)


    A novel analog circuit fault diagnosis method is proposed. This method uses a neural network paradigm to cluster different faults. It is capable of dealing with the common fault models in analog circuits, namely the catastrophic and parametric faults. The proposed technique is independent of the linearity or nonlinearity of the circuit. The process parameter drifts and component tolerance effects of the circuit are well taken care of. Several fault diagnosis strategies for different problem complexities are described. The proposed methodology is illustrated by means of an operational transconductance amplifier (OTA) example
    Original languageEnglish
    Title of host publicationProceedings of the Third European Test Conference, 1993, ETC 93, 19-22 April 1993, Rotterdam, The Netherlands
    Place of PublicationNew York
    PublisherInstitute of Electrical and Electronics Engineers
    ISBN (Print)0-8186-3360-3
    Publication statusPublished - 1993


    Dive into the research topics of 'Analog fault diagnosis : a fault clustering approach'. Together they form a unique fingerprint.

    Cite this