TY - GEN
T1 - Reliability of Conductive Textile Sensors Exposed to Ageing and Prolonged Use
AU - Petz, Phillip Michael Christian Fred
AU - Eibensteiner, Florian
AU - Langer, Josef
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The electrical and mechanical properties of textile sensors are highly dependent on their environment, enabling unobtrusive sensing applications. However, prolonged usage and ageing effects further affect these applications, especially when flexibility and washability are required. These effects reduce the accuracy and reliability of textile sensors and decreases their usable lifetime. Since there are neither suitable physical models nor existing datasets of aged textiles for newly developed textile sensors, accelerated ageing tests are required to generate enough information for the modelling and training process. This paper uses various types of accelerated aged conductive textiles and analyses their behaviour. Models of wear and ageing can be used to improve the accuracy of sensor systems, assess their reliability, and better understand the ageing process of textile sensors. This allows to increase the usable lifetime of textile sensor systems and give an estimate of reliability of textile based sensor readings for security critical applications.
AB - The electrical and mechanical properties of textile sensors are highly dependent on their environment, enabling unobtrusive sensing applications. However, prolonged usage and ageing effects further affect these applications, especially when flexibility and washability are required. These effects reduce the accuracy and reliability of textile sensors and decreases their usable lifetime. Since there are neither suitable physical models nor existing datasets of aged textiles for newly developed textile sensors, accelerated ageing tests are required to generate enough information for the modelling and training process. This paper uses various types of accelerated aged conductive textiles and analyses their behaviour. Models of wear and ageing can be used to improve the accuracy of sensor systems, assess their reliability, and better understand the ageing process of textile sensors. This allows to increase the usable lifetime of textile sensor systems and give an estimate of reliability of textile based sensor readings for security critical applications.
KW - Textile Sensors
KW - Ageing
KW - Prognostics
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=85137171298&partnerID=8YFLogxK
U2 - 10.1109/FLEPS53764.2022.9781567
DO - 10.1109/FLEPS53764.2022.9781567
M3 - Conference contribution
AN - SCOPUS:85137171298
T3 - FLEPS 2022 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings
BT - FLEPS 2022 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022
Y2 - 10 July 2022 through 13 July 2022
ER -