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Self-Monitoring, Self-Healing Biomorphic Sensor Technology

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Self-Monitoring, Self-Healing Biomorphic Sensor Technology. / Richardson, A.; Cheneler, D.
2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019. ed. / Dimitris Gizopoulos; Dan Alexandrescu; Panagiota Papavramidou; Michail Maniatakos. IEEE, 2019. p. 121-124.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Richardson, A & Cheneler, D 2019, Self-Monitoring, Self-Healing Biomorphic Sensor Technology. in D Gizopoulos, D Alexandrescu, P Papavramidou & M Maniatakos (eds), 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019. IEEE, pp. 121-124, 25th IEEE International Symposium on On-Line Testing and Robust System Design, Rhodes Island, Greece, 1/06/19. https://doi.org/10.1109/IOLTS.2019.8854453

APA

Richardson, A., & Cheneler, D. (2019). Self-Monitoring, Self-Healing Biomorphic Sensor Technology. In D. Gizopoulos, D. Alexandrescu, P. Papavramidou, & M. Maniatakos (Eds.), 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019 (pp. 121-124). IEEE. https://doi.org/10.1109/IOLTS.2019.8854453

Vancouver

Richardson A, Cheneler D. Self-Monitoring, Self-Healing Biomorphic Sensor Technology. In Gizopoulos D, Alexandrescu D, Papavramidou P, Maniatakos M, editors, 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019. IEEE. 2019. p. 121-124 Epub 2019 Jul 3. doi: 10.1109/IOLTS.2019.8854453

Author

Richardson, A. ; Cheneler, D. / Self-Monitoring, Self-Healing Biomorphic Sensor Technology. 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019. editor / Dimitris Gizopoulos ; Dan Alexandrescu ; Panagiota Papavramidou ; Michail Maniatakos. IEEE, 2019. pp. 121-124

Bibtex

@inproceedings{d1351af41a4f44f583d5ae322ce32498,
title = "Self-Monitoring, Self-Healing Biomorphic Sensor Technology",
abstract = "The deployment of autonomous sensors within electronic systems for both existing and emerging markets requires an increase in the reliability, security and dependability of the associated data generated. The availability of intelligent sensors that can self-adapt and ultimately self-heal would be a key step towards this objective. This paper presents ideas associated with the utilisation of sensor self-test principles and software algorithms able to generate sensor prognostics and drive adaptation, compensation and self-healing functions. Major initiatives supported both within Europe and further afield to migrate processing power to the 'Edge', deploy 5G technologies and integrate Artificial Intelligence across the system hierarchy provide technological platforms to deliver many of these concepts. An example associated with simple printed electrodes targeting corrosion detection and potentially the detection of hydrogen is presented in the context of a step towards full biomorphic capability.",
keywords = "design for testability, self-healing, self-monitoring, self-test, sensors, 5G mobile communication systems, Corrosion, Design for testability, Digital storage, Sensors, Software testing, Systems analysis, Corrosion detection, Intelligent sensors, Self test, Self-healing, Self-monitoring, Sensor technologies, Software algorithms, Technological platform, Self-healing materials",
author = "A. Richardson and D. Cheneler",
note = "{\textcopyright}2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 25th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2019 ; Conference date: 01-06-2019 Through 03-06-2019",
year = "2019",
month = oct,
day = "3",
doi = "10.1109/IOLTS.2019.8854453",
language = "English",
isbn = "9781728124919",
pages = "121--124",
editor = "Dimitris Gizopoulos and Dan Alexandrescu and Panagiota Papavramidou and Michail Maniatakos",
booktitle = "2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019",
publisher = "IEEE",
url = "http://tima.univ-grenoble-alpes.fr/conferences/iolts/iolts19/",

}

RIS

TY - GEN

T1 - Self-Monitoring, Self-Healing Biomorphic Sensor Technology

AU - Richardson, A.

AU - Cheneler, D.

N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2019/10/3

Y1 - 2019/10/3

N2 - The deployment of autonomous sensors within electronic systems for both existing and emerging markets requires an increase in the reliability, security and dependability of the associated data generated. The availability of intelligent sensors that can self-adapt and ultimately self-heal would be a key step towards this objective. This paper presents ideas associated with the utilisation of sensor self-test principles and software algorithms able to generate sensor prognostics and drive adaptation, compensation and self-healing functions. Major initiatives supported both within Europe and further afield to migrate processing power to the 'Edge', deploy 5G technologies and integrate Artificial Intelligence across the system hierarchy provide technological platforms to deliver many of these concepts. An example associated with simple printed electrodes targeting corrosion detection and potentially the detection of hydrogen is presented in the context of a step towards full biomorphic capability.

AB - The deployment of autonomous sensors within electronic systems for both existing and emerging markets requires an increase in the reliability, security and dependability of the associated data generated. The availability of intelligent sensors that can self-adapt and ultimately self-heal would be a key step towards this objective. This paper presents ideas associated with the utilisation of sensor self-test principles and software algorithms able to generate sensor prognostics and drive adaptation, compensation and self-healing functions. Major initiatives supported both within Europe and further afield to migrate processing power to the 'Edge', deploy 5G technologies and integrate Artificial Intelligence across the system hierarchy provide technological platforms to deliver many of these concepts. An example associated with simple printed electrodes targeting corrosion detection and potentially the detection of hydrogen is presented in the context of a step towards full biomorphic capability.

KW - design for testability

KW - self-healing

KW - self-monitoring

KW - self-test

KW - sensors

KW - 5G mobile communication systems

KW - Corrosion

KW - Design for testability

KW - Digital storage

KW - Sensors

KW - Software testing

KW - Systems analysis

KW - Corrosion detection

KW - Intelligent sensors

KW - Self test

KW - Self-healing

KW - Self-monitoring

KW - Sensor technologies

KW - Software algorithms

KW - Technological platform

KW - Self-healing materials

U2 - 10.1109/IOLTS.2019.8854453

DO - 10.1109/IOLTS.2019.8854453

M3 - Conference contribution/Paper

SN - 9781728124919

SP - 121

EP - 124

BT - 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design, IOLTS 2019

A2 - Gizopoulos, Dimitris

A2 - Alexandrescu, Dan

A2 - Papavramidou, Panagiota

A2 - Maniatakos, Michail

PB - IEEE

T2 - 25th IEEE International Symposium on On-Line Testing and Robust System Design

Y2 - 1 June 2019 through 3 June 2019

ER -