Fibre Optical Ice Sensing: Sensor Model and Icing Experiments for Different Ice Types

Alexander Siegl*, Markus Neumayer, Thomas Bretterklieber

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Atmospheric ice growth can be a potential hazard for structures like high-voltage lines, wind turbines or antennas in alpine regions. Fibre optical ice sensing is a possible approach to detect and monitor ice accretion. The sensing principle is based on the optical coupling between individual glass fibre bundles due to the accreted ice. Recent publications show the feasibility of ice monitoring with this approach by means of experimental studies. In this paper the properties and capabilities of fibre optical sensing for ice detection and thickness measurement are investigated by means of sensor modelling and sensor simulation, as well as dedicated measurements using a prototype. A new sensor model is developed, which includes all relevant interactions between the sensor and the ice accretion process. Simulations for different ice types are performed where the random nature of the ice accretion process is considered. By means of the measurements, the simulation results are verified and the sensor can be assessed for different types of ice regarding its capabilities to detect early ice formation and to measure the ice thickness.

Original languageEnglish
Title of host publication 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Number of pages6
ISBN (Electronic)978-1-7281-4460-3
DOIs
Publication statusPublished - 2020
Event2020 IEEE International Instrumentation and Measurement Technology Conference - Virtuell, Croatia
Duration: 25 May 202028 May 2020

Conference

Conference2020 IEEE International Instrumentation and Measurement Technology Conference
Abbreviated titleIEEE I2MTC 2020
CountryCroatia
CityVirtuell
Period25/05/2028/05/20

Keywords

  • Atmospheric icing
  • Fibre optical sensing
  • Ice sensor
  • Icing experiments
  • Sensor design
  • Sensor modelling

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Instrumentation

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