1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationFLEPS 2022 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665442732
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022 - Vienna, Austria
Duration: 10 Jul 202213 Jul 2022

Publication series

NameFLEPS 2022 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings

Conference

Conference2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022
Country/TerritoryAustria
CityVienna
Period10.07.202213.07.2022

Keywords

  • Textile Sensors
  • Ageing
  • Prognostics
  • Reliability

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