A fiber-optic ice detection system for large-scale wind turbine blades

Dae Gil Kim; Umesh Sampath; Hyunjin Kim; Minho Song

doi:10.1117/12.2273664

A fiber-optic ice detection system for large-scale wind turbine blades

Dae Gil Kim^*
, Umesh Sampath
, Hyunjin Kim
, Minho Song

^*Corresponding author for this work

Division of Electronic Engineering

Jeonbuk National University

Research output: Contribution to conference › Conference paper › peer-review

12 Scopus citations

Abstract

Icing causes substantial problems in the integrity of large-scale wind turbines. In this work, a fiber-optic sensor system for detection of icing with an arrayed waveguide grating is presented. The sensor system detects Fresnel reflections from the ends of the fibers. The transition in Fresnel reflection due to icing gives peculiar intensity variations, which categorizes the ice, the water, and the air medium on the wind turbine blades. From the experimental results, with the proposed sensor system, the formation of icing conditions and thickness of ice were identified successfully in real time.

Original language	English
Title of host publication	Optical Modeling and Performance Predictions IX
Editors	Mark A. Kahan, Marie B. Levine-West
Publisher	SPIE
ISBN (Electronic)	9781510612051
DOIs	https://doi.org/10.1117/12.2273664
State	Published - 2017
Event	Optical Modeling and Performance Predictions IX 2017 - San Diego, United States Duration: 2017.08.7 → 2017.08.8

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10374
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Optical Modeling and Performance Predictions IX 2017
Country/Territory	United States
City	San Diego
Period	17.08.7 → 17.08.8

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Arrayed waveguide grating
Fiber-optic sensor
Fresnel reflection
Ice detection
Wind turbine blades

Quacquarelli Symonds(QS) Subject Topics

Materials Science
Computer Science & Information Systems
Mathematics
Engineering - Electrical & Electronic
Engineering - Petroleum
Data Science
Physics & Astronomy

Access to Document

10.1117/12.2273664

Cite this

@inproceedings{e4a1e256f47a43388cdeb5c8af85c9ea,

title = "A fiber-optic ice detection system for large-scale wind turbine blades",

abstract = "Icing causes substantial problems in the integrity of large-scale wind turbines. In this work, a fiber-optic sensor system for detection of icing with an arrayed waveguide grating is presented. The sensor system detects Fresnel reflections from the ends of the fibers. The transition in Fresnel reflection due to icing gives peculiar intensity variations, which categorizes the ice, the water, and the air medium on the wind turbine blades. From the experimental results, with the proposed sensor system, the formation of icing conditions and thickness of ice were identified successfully in real time.",

keywords = "Arrayed waveguide grating, Fiber-optic sensor, Fresnel reflection, Ice detection, Wind turbine blades",

author = "Kim, \{Dae Gil\} and Umesh Sampath and Hyunjin Kim and Minho Song",

note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Optical Modeling and Performance Predictions IX 2017 ; Conference date: 07-08-2017 Through 08-08-2017",

year = "2017",

doi = "10.1117/12.2273664",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Kahan, \{Mark A.\} and Levine-West, \{Marie B.\}",

booktitle = "Optical Modeling and Performance Predictions IX",

}

Kim, DG, Sampath, U, Kim, H & Song, M 2017, A fiber-optic ice detection system for large-scale wind turbine blades. in MA Kahan & MB Levine-West (eds), Optical Modeling and Performance Predictions IX., 103740B, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10374, SPIE, Optical Modeling and Performance Predictions IX 2017, San Diego, United States, 17.08.7. https://doi.org/10.1117/12.2273664

A fiber-optic ice detection system for large-scale wind turbine blades. / Kim, Dae Gil; Sampath, Umesh; Kim, Hyunjin et al.
Optical Modeling and Performance Predictions IX. ed. / Mark A. Kahan; Marie B. Levine-West. SPIE, 2017. 103740B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10374).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - A fiber-optic ice detection system for large-scale wind turbine blades

AU - Kim, Dae Gil

AU - Sampath, Umesh

AU - Kim, Hyunjin

AU - Song, Minho

PY - 2017

Y1 - 2017

N2 - Icing causes substantial problems in the integrity of large-scale wind turbines. In this work, a fiber-optic sensor system for detection of icing with an arrayed waveguide grating is presented. The sensor system detects Fresnel reflections from the ends of the fibers. The transition in Fresnel reflection due to icing gives peculiar intensity variations, which categorizes the ice, the water, and the air medium on the wind turbine blades. From the experimental results, with the proposed sensor system, the formation of icing conditions and thickness of ice were identified successfully in real time.

AB - Icing causes substantial problems in the integrity of large-scale wind turbines. In this work, a fiber-optic sensor system for detection of icing with an arrayed waveguide grating is presented. The sensor system detects Fresnel reflections from the ends of the fibers. The transition in Fresnel reflection due to icing gives peculiar intensity variations, which categorizes the ice, the water, and the air medium on the wind turbine blades. From the experimental results, with the proposed sensor system, the formation of icing conditions and thickness of ice were identified successfully in real time.

KW - Arrayed waveguide grating

KW - Fiber-optic sensor

KW - Fresnel reflection

KW - Ice detection

KW - Wind turbine blades

UR - https://www.scopus.com/pages/publications/85039044277

U2 - 10.1117/12.2273664

DO - 10.1117/12.2273664

M3 - Conference paper

AN - SCOPUS:85039044277

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Optical Modeling and Performance Predictions IX

A2 - Kahan, Mark A.

A2 - Levine-West, Marie B.

PB - SPIE

T2 - Optical Modeling and Performance Predictions IX 2017

Y2 - 7 August 2017 through 8 August 2017

ER -

A fiber-optic ice detection system for large-scale wind turbine blades

Abstract

Publication series

Conference

UN SDGs

Keywords

Quacquarelli Symonds(QS) Subject Topics

Access to Document

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