Damage detection of wind turbine blade based on wavelet analysis

Qian Zhao; Wei Li; Yichuan Shao; Xingjia Yao; Haonan Tian; Jing Zhang

doi:10.1109/CISP.2015.7408103

Damage detection of wind turbine blade based on wavelet analysis

Qian Zhao, Wei Li, Yichuan Shao, Xingjia Yao, Haonan Tian, Jing Zhang

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

12 Citationer (Scopus)

Abstract

The basic theory and algorithm of wavelet analysis and support vector machine (SVM) were introduced. The feature vector of the fault vibration signal of the blade in wind turbine was extracted by wavelet analysis, the feature vector was identified by SVM method further, and finally, the crack damage of the blade was judged. The results show that this method has a good effect on identification of the blade crack damage in wind turbine.

Originalsprog	Engelsk
Titel	Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015
Redaktører	Lipo Wang, Sen Lin, Zhiyong Tao, Bing Zeng, Xiaowei Hui, Liangshan Shao, Jie Liang
Antal sider	5
Forlag	IEEE Signal Processing Society
Publikationsdato	16 feb. 2016
Sider	1406-1410
Artikelnummer	7408103
ISBN (Elektronisk)	9781467390989
DOI	https://doi.org/10.1109/CISP.2015.7408103
Status	Udgivet - 16 feb. 2016
Begivenhed	8th International Congress on Image and Signal Processing, CISP 2015 - Shenyang, Kina Varighed: 14 okt. 2015 → 16 okt. 2015

Konference

Konference	8th International Congress on Image and Signal Processing, CISP 2015
Land/Område	Kina
By	Shenyang
Periode	14/10/2015 → 16/10/2015

Navn	Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015

Bibliografisk note

Publisher Copyright:
© 2015 IEEE.

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10.1109/CISP.2015.7408103

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Citationsformater

Zhao, Q., Li, W., Shao, Y., Yao, X., Tian, H., & Zhang, J. (2016). Damage detection of wind turbine blade based on wavelet analysis. I L. Wang, S. Lin, Z. Tao, B. Zeng, X. Hui, L. Shao, & J. Liang (red.), Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015 (s. 1406-1410). Artikel 7408103 IEEE Signal Processing Society. https://doi.org/10.1109/CISP.2015.7408103

Zhao, Qian ; Li, Wei ; Shao, Yichuan et al. / Damage detection of wind turbine blade based on wavelet analysis. Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015. red. / Lipo Wang ; Sen Lin ; Zhiyong Tao ; Bing Zeng ; Xiaowei Hui ; Liangshan Shao ; Jie Liang. IEEE Signal Processing Society, 2016. s. 1406-1410 (Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015).

@inproceedings{74c3f7c179fd417dae4850d78cd37281,

title = "Damage detection of wind turbine blade based on wavelet analysis",

abstract = "The basic theory and algorithm of wavelet analysis and support vector machine (SVM) were introduced. The feature vector of the fault vibration signal of the blade in wind turbine was extracted by wavelet analysis, the feature vector was identified by SVM method further, and finally, the crack damage of the blade was judged. The results show that this method has a good effect on identification of the blade crack damage in wind turbine.",

keywords = "blade, damage, support vector machine, wave analysis, wind turbine",

author = "Qian Zhao and Wei Li and Yichuan Shao and Xingjia Yao and Haonan Tian and Jing Zhang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Congress on Image and Signal Processing, CISP 2015 ; Conference date: 14-10-2015 Through 16-10-2015",

year = "2016",

month = feb,

day = "16",

doi = "10.1109/CISP.2015.7408103",

language = "English",

series = "Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015",

pages = "1406--1410",

editor = "Lipo Wang and Sen Lin and Zhiyong Tao and Bing Zeng and Xiaowei Hui and Liangshan Shao and Jie Liang",

booktitle = "Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015",

publisher = "IEEE Signal Processing Society",

address = "United States",

}

Zhao, Q, Li, W, Shao, Y, Yao, X, Tian, H & Zhang, J 2016, Damage detection of wind turbine blade based on wavelet analysis. i L Wang, S Lin, Z Tao, B Zeng, X Hui, L Shao & J Liang (red), Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015., 7408103, IEEE Signal Processing Society, Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015, s. 1406-1410, 8th International Congress on Image and Signal Processing, CISP 2015, Shenyang, Kina, 14/10/2015. https://doi.org/10.1109/CISP.2015.7408103

Damage detection of wind turbine blade based on wavelet analysis. / Zhao, Qian; Li, Wei; Shao, Yichuan et al.
Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015. red. / Lipo Wang; Sen Lin; Zhiyong Tao; Bing Zeng; Xiaowei Hui; Liangshan Shao; Jie Liang. IEEE Signal Processing Society, 2016. s. 1406-1410 7408103 (Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Damage detection of wind turbine blade based on wavelet analysis

AU - Zhao, Qian

AU - Li, Wei

AU - Shao, Yichuan

AU - Yao, Xingjia

AU - Tian, Haonan

AU - Zhang, Jing

PY - 2016/2/16

Y1 - 2016/2/16

N2 - The basic theory and algorithm of wavelet analysis and support vector machine (SVM) were introduced. The feature vector of the fault vibration signal of the blade in wind turbine was extracted by wavelet analysis, the feature vector was identified by SVM method further, and finally, the crack damage of the blade was judged. The results show that this method has a good effect on identification of the blade crack damage in wind turbine.

AB - The basic theory and algorithm of wavelet analysis and support vector machine (SVM) were introduced. The feature vector of the fault vibration signal of the blade in wind turbine was extracted by wavelet analysis, the feature vector was identified by SVM method further, and finally, the crack damage of the blade was judged. The results show that this method has a good effect on identification of the blade crack damage in wind turbine.

KW - blade

KW - damage

KW - support vector machine

KW - wave analysis

KW - wind turbine

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U2 - 10.1109/CISP.2015.7408103

DO - 10.1109/CISP.2015.7408103

M3 - Article in proceeding

AN - SCOPUS:84966639499

T3 - Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015

SP - 1406

EP - 1410

BT - Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015

A2 - Wang, Lipo

A2 - Lin, Sen

A2 - Tao, Zhiyong

A2 - Zeng, Bing

A2 - Hui, Xiaowei

A2 - Shao, Liangshan

A2 - Liang, Jie

PB - IEEE Signal Processing Society

T2 - 8th International Congress on Image and Signal Processing, CISP 2015

Y2 - 14 October 2015 through 16 October 2015

ER -

Zhao Q, Li W, Shao Y, Yao X, Tian H, Zhang J. Damage detection of wind turbine blade based on wavelet analysis. I Wang L, Lin S, Tao Z, Zeng B, Hui X, Shao L, Liang J, red., Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015. IEEE Signal Processing Society. 2016. s. 1406-1410. 7408103. (Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015). doi: 10.1109/CISP.2015.7408103

Damage detection of wind turbine blade based on wavelet analysis

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