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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
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 -