Resonance monitoring of a horizontal wind turbine by strain-based automated operational modal analysis

Wei Hua Hu; De Hui Tang; Ming Wang; Jun Le Liu; Zuo Hua Li; Wei Lu; Jun Teng; Samir Said; Rolf G. Rohrmann

doi:10.3390/en13030579

Resonance monitoring of a horizontal wind turbine by strain-based automated operational modal analysis

Wei Hua Hu
, De Hui Tang
, Ming Wang
, Jun Le Liu
, Zuo Hua Li
, Wei Lu
, Jun Teng^*
, Samir Said
, Rolf G. Rohrmann

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen
Federal Institute for Materials Research and Testing Berlin
Struktur Analyse & Bauwerks Monitoring (SABM) GbR

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

A strain-based automated operational modal analysis algorithm is proposed to track the long-term dynamic behavior of a horizontal wind turbine under operational conditions. This algorithm is firstly validated by a scaled wind turbine model, and then it is applied to the dynamic strain responses recorded from a 5 MW wind turbine system. We observed variations in the fundamental frequency and 1f, 3f excitation frequencies due to the mass imbalance of the blades and aerodynamic excitation by the tower dam or tower wake. Inspection of the Campbell diagram revealed that the adverse resonance phenomenon and Sommerfeld effect causing excessive vibrations of the wind tower.

Original language	English
Article number	579
Journal	Energies
Volume	13
Issue number	3
DOIs	https://doi.org/10.3390/en13030579
State	Published - 2020
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Automated operational modal analysis
Horizontal wind turbine
Resonance
Strain

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10.3390/en13030579

Cite this

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title = "Resonance monitoring of a horizontal wind turbine by strain-based automated operational modal analysis",

abstract = "A strain-based automated operational modal analysis algorithm is proposed to track the long-term dynamic behavior of a horizontal wind turbine under operational conditions. This algorithm is firstly validated by a scaled wind turbine model, and then it is applied to the dynamic strain responses recorded from a 5 MW wind turbine system. We observed variations in the fundamental frequency and 1f, 3f excitation frequencies due to the mass imbalance of the blades and aerodynamic excitation by the tower dam or tower wake. Inspection of the Campbell diagram revealed that the adverse resonance phenomenon and Sommerfeld effect causing excessive vibrations of the wind tower.",

keywords = "Automated operational modal analysis, Horizontal wind turbine, Resonance, Strain",

author = "Hu, \{Wei Hua\} and Tang, \{De Hui\} and Ming Wang and Liu, \{Jun Le\} and Li, \{Zuo Hua\} and Wei Lu and Jun Teng and Samir Said and Rohrmann, \{Rolf G.\}",

note = "Publisher Copyright: {\textcopyright} 2020 by the authors.",

year = "2020",

doi = "10.3390/en13030579",

language = "英语",

volume = "13",

journal = "Energies",

issn = "1996-1073",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

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T1 - Resonance monitoring of a horizontal wind turbine by strain-based automated operational modal analysis

AU - Hu, Wei Hua

AU - Tang, De Hui

AU - Wang, Ming

AU - Liu, Jun Le

AU - Li, Zuo Hua

AU - Lu, Wei

AU - Teng, Jun

AU - Said, Samir

AU - Rohrmann, Rolf G.

PY - 2020

Y1 - 2020

N2 - A strain-based automated operational modal analysis algorithm is proposed to track the long-term dynamic behavior of a horizontal wind turbine under operational conditions. This algorithm is firstly validated by a scaled wind turbine model, and then it is applied to the dynamic strain responses recorded from a 5 MW wind turbine system. We observed variations in the fundamental frequency and 1f, 3f excitation frequencies due to the mass imbalance of the blades and aerodynamic excitation by the tower dam or tower wake. Inspection of the Campbell diagram revealed that the adverse resonance phenomenon and Sommerfeld effect causing excessive vibrations of the wind tower.

AB - A strain-based automated operational modal analysis algorithm is proposed to track the long-term dynamic behavior of a horizontal wind turbine under operational conditions. This algorithm is firstly validated by a scaled wind turbine model, and then it is applied to the dynamic strain responses recorded from a 5 MW wind turbine system. We observed variations in the fundamental frequency and 1f, 3f excitation frequencies due to the mass imbalance of the blades and aerodynamic excitation by the tower dam or tower wake. Inspection of the Campbell diagram revealed that the adverse resonance phenomenon and Sommerfeld effect causing excessive vibrations of the wind tower.

KW - Automated operational modal analysis

KW - Horizontal wind turbine

KW - Resonance

KW - Strain

UR - https://www.scopus.com/pages/publications/85078998964

U2 - 10.3390/en13030579

DO - 10.3390/en13030579

M3 - 文章

AN - SCOPUS:85078998964

SN - 1996-1073

VL - 13

JO - Energies

JF - Energies

IS - 3

M1 - 579

ER -

Resonance monitoring of a horizontal wind turbine by strain-based automated operational modal analysis

Abstract

UN SDGs

Keywords

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