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Droplet Imaging Instrument Metrology Instrument for Icing Condition Detection
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0002-5324-002X
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2016 (English)In: 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST), IEEE, 2016, 66-71 p., 7738200Conference paper (Refereed)
Abstract [en]

An instrument for measuring water droplets is described and constructed. It is designed to measure the volume concentration and the size distribution of droplets in order to detect icing conditions in a natural fog. The instrument works by shadowgraph imaging, with a collimated blue LED as background illumination. We show how to use a reference object to obtain a calibration of the droplet size and the measurement volume. These properties are derived from a measurement of the object's shadow intensity and its edge second derivative. From the size of every measured droplet and its expected detection volume, a measure of the liquid water content (LWC) and the median volume diameter (MVD) can be estimated. The instrument can be used for continuous measurement in a remote weather-exposed location and is tested in a small environment chamber. We also describe this chamber and how we can change the LWC using an ultrasonic fog generator and a fan.

Place, publisher, year, edition, pages
IEEE, 2016. 66-71 p., 7738200
Series
IEEE International Conference on Imaging Systems and Techniques, ISSN 2471-6162
Keyword [en]
atmospheric measurements, fog chamber, image analysis, liquid water content, machine vision
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-29765DOI: 10.1109/IST.2016.7738200ISI: 000388735200012ScopusID: 2-s2.0-85004010273ISBN: 978-1-5090-1817-8 (print)OAI: oai:DiVA.org:miun-29765DiVA: diva2:1059401
Conference
IEEE International Conference on Imaging Systems and Techniques (IST) / IEEE International School on Imaging, OCT 04-06, 2016, Chania, GREECE
Available from: 2016-12-22 Created: 2016-12-22 Last updated: 2017-01-03Bibliographically approved

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Rydblom, StaffanThörnberg, Benny
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf