Field Sensor Analysis for Electrical Impedance Spectroscopy Based Ice Detection

Matthias Flatscher; Markus Neumayer; Thomas Bretterklieber

doi:10.1109/ICSENS.2017.8234035

Field Sensor Analysis for Electrical Impedance Spectroscopy Based Ice Detection

Matthias Flatscher, Markus Neumayer, Thomas Bretterklieber

Arbeitsgruppe Energy Aware Measurement Systems (4532)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

Ice accretion is a common event in cold climate regions. Systems operating in such an environment can be adversely affected by ice coverage e.g. the efficiency of a wind turbine is reduced. To induce appropriate countermeasures reliable ice detection systems are required. Measurements around the freezing mark are particularly challenging due the unknown state of matter of water. In this paper we present analysis of a field sensor. The differentiation between an ice and water covered sensor is shown by measurements of time varying sensor conditions.

Originalsprache	englisch
Titel	2017 IEEE SENSORS Proceedings
Seiten	477-479
Seitenumfang	3
DOIs	https://doi.org/10.1109/ICSENS.2017.8234035
Publikationsstatus	Veröffentlicht - 2017
Veranstaltung	IEEE Sensors 2017 - Scottish Event Center, Glasgow, Großbritannien / Vereinigtes Königreich Dauer: 30 Okt. 2017 → 2 Nov. 2017 http://ieee-sensors2017.org http://ieee-sensors2017.org

Konferenz

Konferenz	IEEE Sensors 2017
Land/Gebiet	Großbritannien / Vereinigtes Königreich
Ort	Glasgow
Zeitraum	30/10/17 → 2/11/17
Internetadresse	http://ieee-sensors2017.org http://ieee-sensors2017.org

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10.1109/ICSENS.2017.8234035

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title = "Field Sensor Analysis for Electrical Impedance Spectroscopy Based Ice Detection",

abstract = "Ice accretion is a common event in cold climate regions. Systems operating in such an environment can be adversely affected by ice coverage e.g. the efficiency of a wind turbine is reduced. To induce appropriate countermeasures reliable ice detection systems are required. Measurements around the freezing mark are particularly challenging due the unknown state of matter of water. In this paper we present analysis of a field sensor. The differentiation between an ice and water covered sensor is shown by measurements of time varying sensor conditions.",

author = "Matthias Flatscher and Markus Neumayer and Thomas Bretterklieber",

year = "2017",

doi = "10.1109/ICSENS.2017.8234035",

language = "English",

pages = "477--479",

booktitle = "2017 IEEE SENSORS Proceedings",

note = "IEEE Sensors 2017 ; Conference date: 30-10-2017 Through 02-11-2017",

url = "http://ieee-sensors2017.org, http://ieee-sensors2017.org",

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AU - Flatscher, Matthias

AU - Neumayer, Markus

AU - Bretterklieber, Thomas

PY - 2017

Y1 - 2017

N2 - Ice accretion is a common event in cold climate regions. Systems operating in such an environment can be adversely affected by ice coverage e.g. the efficiency of a wind turbine is reduced. To induce appropriate countermeasures reliable ice detection systems are required. Measurements around the freezing mark are particularly challenging due the unknown state of matter of water. In this paper we present analysis of a field sensor. The differentiation between an ice and water covered sensor is shown by measurements of time varying sensor conditions.

AB - Ice accretion is a common event in cold climate regions. Systems operating in such an environment can be adversely affected by ice coverage e.g. the efficiency of a wind turbine is reduced. To induce appropriate countermeasures reliable ice detection systems are required. Measurements around the freezing mark are particularly challenging due the unknown state of matter of water. In this paper we present analysis of a field sensor. The differentiation between an ice and water covered sensor is shown by measurements of time varying sensor conditions.

U2 - 10.1109/ICSENS.2017.8234035

DO - 10.1109/ICSENS.2017.8234035

M3 - Conference paper

SP - 477

EP - 479

BT - 2017 IEEE SENSORS Proceedings

T2 - IEEE Sensors 2017

Y2 - 30 October 2017 through 2 November 2017

ER -

Field Sensor Analysis for Electrical Impedance Spectroscopy Based Ice Detection

Abstract

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