Diagnosis of power switches with power-distribution-network consideration

Vasileios Tenentes, Daniele Rossi, Saqib Khursheed, Bashir M. Al-Hashimi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)


    This paper examines diagnosis of power switches when the power-distribution-network (PDN) is considered as a high resolution distributed electrical model. The analysis shows that for a diagnosis method to perform high diagnosis accuracy and resolution, the distributed nature of PDN should not be simplified by a lumped model. For this reason, a PDN-aware diagnosis method for power switches fault grading is proposed. The proposed method utilizes a novel signature generation design-for-testability (DFT) unit, the signatures of which are processed by a novel diagnosis algorithm that grades the magnitude of faults. Through simulations of physical layout SPICE models, we explore the trade-offs of the proposed method between diagnosis accuracy and diagnosis resolution against area overhead and we show that 100% diagnosis accuracy and up to 98% diagnosis resolution can be achieved with negligible cost.

    Original languageEnglish
    Title of host publicationProceedings - 2015 20th IEEE European Test Symposium, ETS 2014
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    ISBN (Electronic)9781479976034
    Publication statusPublished - 29 Jun 2015
    Event2015 20th IEEE European Test Symposium, ETS 2014 - Cluj-Napoca
    Duration: 25 May 201529 May 2015


    Conference2015 20th IEEE European Test Symposium, ETS 2014


    • diagnosis
    • fault grading
    • power gating


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