Non-uniform illumination image enhancement for surface damage detection of wind turbine blades-Reference-Cited by-同舟云学术

Non-uniform illumination image enhancement for surface damage detection of wind turbine blades

Published:2022-05 Issue: Volume:170 Page:108797
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Peng Yeping^ORCID,Wang Weijiang^ORCID,Tang Zhen^ORCID,Cao Guangzhong^ORCID,Zhou Shengxi^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference41 articles.

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2. Wind turbine blade breakage monitoring with deep autoencoders;Wang;IEEE Trans. Smart Grid,2016

3. A supervised vibration-based statistical methodology for damage detection under varying environmental conditions & its laboratory assessment with a scale wind turbine blade;Gómez González;J. Sound Vib.,2016

4. Health monitoring of wind turbine blades in operation using three-dimensional digital image correlation;Wu;Mech. Syst. Signal Process.,2019

5. An experimental study on the data-driven structural health monitoring of large wind turbine blades using a single accelerometer and actuator;García;Mech. Syst. Signal Process.,2019

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