Reliability Assessment of Memristor based Gas Sensor Array

Vishal Gupta, Giulio Panunzi, Saurabh Khandelwal, Eugenio Martinelli, Abusaleh Jabir, Marco Ottavi

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

Abstract

Sensors are an essential part of every intelligent monitoring system. Memristor based gas sensor devices are rapidly emerging due to offering various advantages and are providing a wide range of applications in the next generation technologies. Moreover, memristor based gas sensor arrays are used to minimize measurement errors. Reliability is one of the key aspects of such arrays/structures. This article provides a new framework for reliability assessment of a memristor based sensor array by considering the probability of the chip to have optimal sensing responses when faults/defects affect the array. The Markovian model is proposed for the reliability assessment in both cases with and without spare rows. Constant fault rate is estimated over the period to guarantee that the fault model does not alter. Furthermore, Mean Time To Failure (MTTF) is also evaluated which shows how the productive process affects life time of the device. The proposed assessment framework is appropriate to analyze the reliability for different fault models, architectures and arrays including the redundancy allocations.
Original languageEnglish
Title of host publication2021 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
EditorsLuigi Dilillo, Luca Cassano, Athanasios Papadimitriou
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-6654-1609-2
ISBN (Print)978-1-6654-1610-8
DOIs
Publication statusPublished - 8 Oct 2021
Externally publishedYes
Event34th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2021 - Virtual, Athens, Greece
Duration: 6 Oct 20218 Oct 2021
Conference number: 34

Publication series

NameIEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
PublisherIEEE
Volume2021
ISSN (Print)2576-1501
ISSN (Electronic)2765-933X

Conference

Conference34th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2021
Abbreviated titleDFT 2021
Country/TerritoryGreece
CityVirtual, Athens
Period6/10/218/10/21

Keywords

  • Analytical models
  • Microprocessors
  • Memristors
  • Computer architecture
  • Very large scale integration
  • Sensor systems
  • Reliability
  • n/a OA procedure

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