Fault Simulation and Online Diagnosis of Blade Damage of Large-Scale Wind Turbines

Feng Gao, Xiaojiang Wu, Qiang Liu, Juncheng Liu and Xiyun Yang
Additional contact information
Feng Gao: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Xiaojiang Wu: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Qiang Liu: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Juncheng Liu: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Xiyun Yang: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China

Energies, 2019, vol. 12, issue 3, 1-16

Abstract: Damaged wind turbine (WT) blades have an imbalanced load and abnormal vibration, which affects their safe and stable operation or even results in blade rupture. To solve this problem, this study proposes a new method to detect damage in WT blades using wavelet packet energy spectrum analysis and operational modal analysis. First, a wavelet packet transform is used to analyze the tip displacement of the blades to obtain the energy spectrum. The damage is detected preliminarily based on the energy change in different frequency bands. Subsequently, an operational modal analysis method is used to obtain the modal parameters of the blade sections and the damage is located based on the modal strain energy change ratio (MSECR). Finally, the professional WT simulation software GH (Garrad Hassan) Bladed is used to simulate the blade damage and the results are verified by developing an online fault diagnosis platform integrated with MATLAB. The results show that the proposed method is able to diagnose and locate the damage accurately and provide a basis for further research of online damage diagnosis for WT blades.

Keywords: wind turbine; blade damage diagnosis; wavelet transform; operational modal analysis; modal strain energy (MSE) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/3/522/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/3/522/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:3:p:522-:d:204048

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().