Detection of fan blade defects by visible light and thermal infrared image fusion

Author:

Ma Minmin1ORCID,Liu Hao1ORCID,Tan Kecheng1ORCID,Gao Yuxin1ORCID,Huang Siyang1ORCID

Affiliation:

1. PowerChina Zhongnan Engineering Corporation Limited, China and Hunan Province Key Laboratory of Hydropower Development Key Technology, China

Publisher

ACM

Reference18 articles.

1. (Nea) National Energy Administration. 2023. National Energy Administration released statistical data of national electric power industry in 2022. J. Electric Power Survey & Design. 1 2023): 24-.

2. In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures

3. Darus Zuhairuse Md., Hashim Nor Atikah, Manan Siti Nurhidayah Abdul, 2008. Potential of wind energy in sustainable development of resort island in Malaysia: a case study of Pulau Perhentian (Perhentian island); In Proceedings of the Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems, F, 2008.

4. Summary of full-cycle nondestructive testing of fan blades based on visible light and thermal imaging;Yunze He;J. Journal of Mechanical Engineering.,2022

5. Surface Damage Detection of Fan Blade Based on UAV Image Analysis;Ruxin Gao;J. China Computer & Communication.,2022

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