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@ARTICLE{Lanzieri:596099,
      author       = {Lanzieri, Leandro and Martino, Gianluca and Fey, Goerschwin
                      and Schlarb, Holger and Schmidt, Thomas C. and Wählisch,
                      Matthias},
      title        = {{A} {R}eview of {T}echniques for {A}geing {D}etection and
                      {M}onitoring on {E}mbedded {S}ystems},
      reportid     = {PUBDB-2023-06047, arXiv:2301.06804},
      abstract     = {Embedded digital devices, such as Field-Programmable Gate
                      Arrays (FPGAs) and Systems on Chip (SoCs), are increasingly
                      used in dependable or safety-critical systems. These
                      commodity devices are subject to notable hardware ageing,
                      which makes failures likely when used for an extended time.
                      It is of vital importance to understand ageing processes and
                      to detect hardware degradations early. In this survey, we
                      describe the fundamental ageing mechanisms and review the
                      main techniques for detecting ageing in FPGAs,
                      microcontrollers, SoCs, and power supplies. The main goal of
                      this work is to facilitate future research efforts in this
                      field by presenting all main approaches in an organized
                      way.},
      pnm          = {HIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz
                      Graduate School for the Structure of Matter
                      $(2019_IVF-HIDSS-0002)$},
      pid          = {$G:(DE-HGF)2019_IVF-HIDSS-0002$},
      typ          = {PUB:(DE-HGF)25},
      eprint       = {2301.06804},
      howpublished = {arXiv:2301.06804},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2301.06804;\%\%$},
      url          = {https://bib-pubdb1.desy.de/record/596099},
}