Defect Detection System Based on UAV Images for Wind Turbine Blades

Chunyi ZHAO; Hongtao GUO; Tao GUO; Guo LIANG; Haicheng JING

Infrared Technology, Volume. 42, Issue 12, 1203(2020)

Chunyi ZHAO^*, Hongtao GUO, Tao GUO, Guo LIANG, and Haicheng JING

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References(3)

[2] [2] Menon S, Schooess J N, Hamza RR, et al. Wavelet-bbased acoustic emmission detection methodd with adaptive tthresholding[C]//PProc. of SPIE, 20000, 3986: 71-78.

[3] [3] CUI Hongyu, DINNG Ning, HONG Ming. Crack diaggnosis of wind turbbine blades based onn MD method[J]]. IOP Conferencce Series: Materrials Science and Engiineering, 2016, 1557(1): 012003.

[4] [4] WANG Long, ZHHANG Zijun. Auttomatic detection oof wind turbine bllade surface cracks bbased on UAV-takken images[J]. IEEEE Transactions on Industrial Electroonics, 2017, 64(9): 7293-7303.

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ZHAO Chunyi, GUO Hongtao, GUO Tao, LIANG Guo, JING Haicheng. Defect Detection System Based on UAV Images for Wind Turbine Blades[J]. Infrared Technology, 2020, 42(12): 1203

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Paper Information

Category:

Received: Apr. 4, 2020

Accepted: --

Published Online: Jan. 12, 2021

The Author Email: Chunyi ZHAO (sshsdsfyj@126.com)

DOI:

CSTR:32186.14.

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology