Damage detection in wind turbine blades using time-frequency analysis of vibration signals-Reference-Cited by-同舟云学术

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Damage detection in wind turbine blades using time-frequency analysis of vibration signals

Published:2010-07 Issue: Volume: Page:
ISSN:
Container-title:The 2010 International Joint Conference on Neural Networks (IJCNN)
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Author:

Fitzgerald Breiffni,Arrigan John,Basu Biswajit

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5581822/5595732/05596790.pdf?arnumber=5596790

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The State-of-the-Art on Time-Frequency Signal Processing Techniques for High-Resolution Representation of Nonlinear Systems in Engineering;Archives of Computational Methods in Engineering;2024-06-26

2. Feasibility study on a full‐scale wind turbine blade monitoring campaign: Comparing performance and robustness of features extracted from medium‐frequency active vibrations;Wind Energy;2023-08-10

3. GBR: Working Theory and Signal Processing;Ground-Based Radar in Structural Design, Optimization, and Health Monitoring of Stationary and Rotating Structures;2023

4. Rotor imbalance detection and quantification in wind turbines via vibration analysis;Wind Engineering;2021-03-17

5. Damage detection of wind turbine system based on signal processing approach: a critical review;Clean Technologies and Environmental Policy;2021-01-02

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